Automate and Control LTD

Category: Food Inspection

  • Automate and Control LTD’s Predictive Shelf Life Technology: Enhancing Sustainability and Reducing Food Waste

    In the modern food industry, sustainability is a critical concern, with companies striving to minimize waste and maximize resource efficiency. Automate and Control LTD has stepped up to the challenge with their innovative predictive shelf life technology. This cutting-edge solution offers a proactive approach to managing the freshness and usability of perishable goods, ensuring that produce like blueberries reach consumers in optimal condition or are repurposed effectively to prevent waste.

    https://vimeo.com/981249843?share=copy

    Understanding Predictive Shelf Life Technology

    Predictive shelf life technology leverages advanced data analytics, machine learning algorithms, and real-time monitoring to predict the remaining shelf life of perishable products accurately. By analyzing various factors such as temperature, humidity, transportation conditions, and historical data, this technology can provide precise predictions about the freshness of produce at different stages of the supply chain.

    Benefits for Sustainability

    1. Reduction in Food WasteOne of the most significant benefits of predictive shelf life technology is the substantial reduction in food waste. For instance, if blueberries are nearing the end of their shelf life, the system can identify this and suggest alternative uses before they become unsellable. Instead of ending up in the trash, these blueberries can be diverted to be juiced, added to baked goods, or freeze-dried, thus extending their usability and preventing waste.
    2. Optimized Supply Chain Management By predicting the shelf life of products with high accuracy, companies can make more informed decisions about inventory management and distribution. This ensures that products that are still fit for consumption are prioritized for delivery to consumers, while those nearing their expiration are redirected to other production processes. This optimization leads to a more efficient supply chain, reducing unnecessary transportation and storage, which in turn lowers the carbon footprint.
    3. Enhanced Consumer Satisfaction Consumers often dispose of food because it spoils faster than expected after purchase. With predictive shelf life technology, companies can ensure that produce reaching the consumers’ homes is fresh and has a longer remaining shelf life. This increases consumer satisfaction and trust, as they are less likely to encounter spoiled or subpar products.
    4. Resource Efficiency Efficient use of resources is a cornerstone of sustainability. Predictive shelf life technology helps in making the most of the produce by identifying the best use case scenario for items nearing the end of their freshness. For example, blueberries that are too ripe for direct sale can be used in recipes, ensuring that all parts of the produce lifecycle are utilized effectively, thereby conserving resources.
    5. Support for Circular EconomyThis technology aligns with the principles of a circular economy, where products and materials are kept in use for as long as possible. By ensuring that blueberries and other produce are repurposed appropriately, Automate and Control LTD’s technology helps in creating a closed-loop system that minimizes waste and maximizes the value extracted from agricultural products.

    Practical Application: Blueberries Case Study

    Let’s take a closer look at how this technology benefits companies using blueberries as an example:

    • Fresh Produce Distribution: Blueberries with a predicted long shelf life are distributed as fresh produce to retail stores, ensuring consumers receive high-quality, fresh berries.
    • Juicing: If the predictive system identifies blueberries that won’t stay fresh until they reach the consumer, these can be immediately sent to juicing facilities. This not only prevents waste but also provides an additional revenue stream.
    • Baked Goods: Blueberries nearing the end of their freshness can be sent to bakeries where they can be incorporated into muffins, pies, and other baked goods. This use case ensures the berries are consumed in a timely manner and contribute to delicious products.
    • Freeze-Drying: Berries that are ripe but still in good condition can be freeze-dried, extending their shelf life significantly. Freeze-dried blueberries can be used in cereals, snacks, and even sold as a standalone product.

    Conclusion

    Automate and Control LTD’s predictive shelf life technology is a game-changer for the food industry, offering a sustainable solution to the pervasive problem of food waste. By accurately predicting the shelf life of produce, this technology ensures that food products are used optimally, whether as fresh produce or in value-added forms like juices, baked goods, or freeze-dried products. This innovation not only supports sustainability goals but also enhances supply chain efficiency, resource utilization, and consumer satisfaction. Companies adopting this technology are not only reducing their environmental impact but also paving the way for a more sustainable and efficient food industry.

  • Automate and Control LTD Announces New Partnership with AMI Group USA

    **London, UK – June 1, 2024**

    Automate and Control LTD, a leader in industrial automation solutions, is proud to announce a strategic partnership with AMI Group, a premier distributor based in New York, USA. This collaboration marks a significant milestone in our mission to expand our global footprint and deliver state-of-the-art automation solutions to new markets.

    Strategic Expansion Through Trusted Partnerships

    Expanding into new markets requires not just the right products but the right partners. At Automate and Control LTD, we understand that successful market penetration is built on trust, local knowledge, and the ability to provide timely, effective support. By partnering with AMI Group, we gain access to their extensive network, market insights, and a dedicated team that shares our commitment to excellence.

    The Importance of Local Support

    One of the critical components of successful international expansion is the ability to offer local support. Our partnership with AMI Group ensures that our customers in the USA will benefit from prompt, personalized service. Local support reduces response times, enhances customer satisfaction, and ensures that any issues are resolved swiftly and efficiently. This is particularly important in the realm of industrial automation, where downtime can be costly and disruptive.

    Successful Collaborations and Innovations

    Our partnership with AMI Group has already yielded impressive results. Recent collaborations on machine vision system installations and research and development projects have been highly successful. These projects have demonstrated the synergy between Automate and Control LTD’s innovative technologies and AMI Group’s local expertise and customer relationships.

    Our advanced machine vision systems have been seamlessly integrated into AMI Group’s operations, providing their customers with cutting-edge solutions that enhance productivity, quality control, and operational efficiency. The successful execution of these projects underscores the strength of our partnership and our shared commitment to pushing the boundaries of industrial automation.

    Celebrating British Manufacturing Excellence

    At Automate and Control LTD, we take pride in our heritage of British manufacturing excellence. Our products are designed and built to the highest standards, reflecting a tradition of quality, innovation, and reliability. Partnering with AMI Group allows us to bring the best of British manufacturing to the USA, delivering robust and reliable automation solutions that meet the unique needs of American industries.

    Looking Ahead

    This partnership is just the beginning of a promising journey. Together with AMI Group, we are poised to explore new opportunities, drive innovation, and deliver unparalleled value to our customers. We are excited about the future and the endless possibilities that lie ahead as we continue to expand our global reach.

    About Automate and Control LTD

    Automate and Control LTD is a leading provider of industrial automation solutions, specializing in machine vision systems, control systems, and custom automation projects. With a commitment to innovation and excellence, we help businesses across various industries optimize their operations and achieve their goals.

    About AMI Group

    AMI Group is a New York-based distributor specializing in flexible packaging conversion and automation solutions. With a strong focus on customer service and technical expertise, AMI Group provides comprehensive support and high-quality products to clients across the USA.

    For more information, please visit our websites:

    – Automate and Control LTD: [automateandcontrol.com](https://automateandcontrol.com)

    – AMI Group: [amiflexiblesny.com](https://amiflexiblesny.com)

    **Contact:**

    – Automate and Control LTD

      – Email: sales@automateandcontrol.co.uk

      – Phone: +44 208 1333 585

    – AMI Group

      – Email: info@amiflexibles.com

      – Phone: +1 631.588.0800

    Together, Automate and Control LTD and AMI Group are committed to advancing the field of industrial automation and delivering exceptional solutions to our customers.

  • Revolutionizing Food Fraud Detection: Real-Time Chemical Imaging Coupled with AI & ML

    In today’s fast-paced world, ensuring the authenticity and safety of food products is paramount. At Automate and Control LTD, we are at the forefront of this revolution with our cutting-edge hyperspectral machine vision systems, seamlessly integrated with Machine Learning (ML) and Artificial Intelligence (AI). Our technology provides unparalleled real-time results, making it ideal for both laboratory settings and online applications.

    Combatting Food Fraud with Advanced Technology

    Food fraud is a significant global issue, affecting both consumers and industries. The economic impact and potential health risks necessitate robust solutions. Our systems excel in detecting various types of food fraud, ensuring the authenticity and quality of products such as:

    • Saffron: Known as one of the most expensive spices, saffron is frequently adulterated. Our hyperspectral imaging can detect even the slightest impurities or adulteration, safeguarding its purity.
    • Protein: Protein powders and supplements are prone to mislabeling and contamination. Our systems verify protein content and identify contaminants, ensuring product integrity.
    • Coffee: From distinguishing between Arabica and Robusta to identifying potential contaminants, our technology ensures every cup of coffee meets high standards of quality and authenticity.
    • Wheat: Wheat and wheat-based products are susceptible to adulteration. Our real-time imaging ensures the purity of wheat, protecting both producers and consumers.
    • Spices: Common spices like oregano are often mixed with cheaper substances. Our advanced systems detect these adulterants, maintaining the spice’s quality.
    • Fish: Mislabeling of fish species is a common issue. Our technology accurately identifies different fish species, ensuring correct labeling and consumer trust.

    How It Works

    Our hyperspectral machine vision systems analyze food products by capturing and processing information across a wide range of wavelengths. Coupled with AI and ML algorithms, the system learns and adapts, providing instant, precise results. This integration allows for:

    • Real-Time Analysis: Immediate detection and analysis of contaminants and adulterants.
    • High Accuracy: Advanced algorithms ensure high precision and reliability in results.
    • Adaptability: The system continuously improves its accuracy by learning from new data.

    The Future of Food Fraud Detection

    At Automate and Control LTD, we believe that the future of food fraud detection lies in the integration of advanced imaging technologies with AI and ML. Our mission is to provide solutions that not only enhance the efficiency of food safety processes but also build consumer trust through transparency and authenticity.

    For more information on how our hyperspectral machine vision systems can benefit your business, visit www.automateandcontrol.com/.

    Join us in this revolution and ensure the highest standards of food safety with real-time chemical imaging technology.

    #FoodFraudDetection #FoodSafety #AI #MachineLearning #HyperspectralImaging #RealTimeResults #Innovation #Technology #AutomateAndControl #QualityAssurance

  • AI & ML Powered Machine Vision Systems for the Food Industry – Transform Your Production Line with AI: 5-Minute Operator Programming for New SKUs

    In the dynamic and fast-paced world of the food industry, ensuring consistent quality and efficiency is paramount. At Automate and Control LTD, we understand the unique challenges faced by food manufacturers, particularly the need to adapt to ever-changing Stock Keeping Units (SKUs). Our advanced machine vision systems, powered by machine learning (ML) and artificial intelligence (AI), are designed to meet these demands head-on, transforming the way food processing and quality control are conducted.

    The Challenge of Ever-Changing SKUs

    The food industry is characterized by a wide variety of products, each with its own specific packaging, labeling, and quality requirements. As consumer preferences evolve and product lines expand, manufacturers must continually adjust their processes to accommodate new SKUs. Traditional vision systems often struggle to keep pace with these changes, leading to inefficiencies and increased costs.

    AI and ML: The Game Changers

    Machine learning and artificial intelligence have revolutionized the capabilities of vision systems. By leveraging these technologies, our systems can learn and adapt to new SKUs quickly and accurately. Here’s how:

    1. Dynamic Learning: Our vision systems utilize ML algorithms to continuously learn from new data. This enables them to recognize and adapt to new products and packaging with minimal reprogramming.
    2. Enhanced Accuracy: AI enhances the precision of our vision systems, ensuring that even the slightest deviations in product quality or packaging are detected. This leads to higher consistency and fewer errors.
    3. Scalability: As your product line grows, our AI-powered vision systems scale effortlessly, accommodating an increasing number of SKUs without compromising on performance.

    Simplified Deployment with 5-Minute Operator Training

    One of the standout features of our vision systems is the ease of deployment and operation. We recognize that time is of the essence in the food industry. That’s why we’ve designed our systems to be incredibly user-friendly, allowing for quick and efficient training of operators.

    With just 5 minutes of training, operators can:

    • Set Up and Calibrate: Our intuitive interface guides operators through the setup and calibration process, ensuring that the system is correctly configured for each specific SKU.
    • Monitor and Adjust: Real-time monitoring allows operators to make immediate adjustments, ensuring optimal performance at all times.
    • Maintain and Troubleshoot: Simple maintenance procedures and clear troubleshooting guides minimize downtime and keep production lines running smoothly.

    Real-World Impact

    Implementing our AI-powered vision systems in your production line can lead to significant improvements in efficiency, product quality, and cost savings. Here are some of the benefits our clients have experienced:

    • Reduced Waste: By catching defects early, our systems help reduce waste and ensure that only products meeting the highest standards reach the market.
    • Increased Throughput: Faster adaptation to new SKUs means less downtime and higher production rates.
    • Enhanced Compliance: Consistent quality control helps maintain compliance with industry standards and regulations, safeguarding your brand’s reputation.

    Partner with Automate and Control LTD

    At Automate and Control LTD, we are committed to driving innovation in the food industry. Our AI-powered machine vision systems represent the cutting edge of technology, designed to meet the specific needs of food manufacturers.

    Visit our website at www.automateandcontrol.com/ to learn more about how our solutions can revolutionize your production processes. Together, we can ensure that quality and efficiency are always on the menu.

  • Perfecting Strawberry Sweetness: Our bioClass® Automated System Grades Berries by Optimal Brix Levels

    Strawberries graded by Brix levels indicate their sugar content, which affects not only their sweetness but also their texture. A high Brix level, while ensuring sweetness, can lead to strawberries becoming dry. This is because higher sugar content increases osmotic pressure, drawing water out of the fruit and potentially resulting in a drier texture. Conversely, strawberries with a low Brix level can be hard and less flavorful because they have not developed sufficient sugar content and are often picked before they fully ripen.

    The ideal Brix level for strawberries is around 7-9. Levels below this range can result in a harder, less ripe fruit, while levels significantly above this range can cause the fruit to lose its moisture, making it dry and less enjoyable in terms of texture. Therefore, achieving the right balance in Brix levels is crucial for maintaining the optimal quality and texture of strawberries.

    Additionally, environmental conditions, cultivation practices, and harvest timing play essential roles in achieving the desired Brix levels without compromising the fruit’s quality.

    Contact us for the full report our trials that concluded an accuracy of Standard Deviation 0.3 BRIX CONTACT

    Introduction to Automated Sorting Machine for Grading Strawberries by Brix Content

    In the competitive world of strawberry production, ensuring consistent quality and taste is paramount. The Brix level, which measures the sugar content of the strawberries, plays a critical role in determining the fruit’s sweetness, texture, and overall consumer appeal. Automate and Control Ltd. has developed an advanced automated sorting machine that grades strawberries based on their Brix content, enhancing the efficiency and accuracy of the grading process.

    This innovative system utilizes the bioClass® TEST BED equipped with the ReG9 Algorithm and DiFluid Basic Refractometer to accurately measure the Brix levels of IQF (Individually Quick Frozen) strawberries. By automating the grading process, the machine aims to improve product quality, reduce the need for manual inspections, and ensure that 100% of the produce is inspected and graded correctly.

    During testing, the strawberries are scanned to measure their Brix levels. Samples are then defrosted, and three Brix measurements are taken using a refractometer to ensure no cross-contamination. These measurements are fed into the bioClass® ReG9 Algorithm, which processes the data to provide accurate grading results. The effectiveness of this system was demonstrated in a controlled trial, achieving a high standard of accuracy with minimal deviation.

    By implementing this automated sorting machine, producers can reliably offer premium-quality strawberries that meet high consumer expectations for sweetness and consistency, thereby enhancing their market reputation and reducing waste due to manual sorting errors.

    This technology represents a significant advancement in the agricultural industry, combining precision agriculture with automated processing to deliver superior quality produce to the market.

  • bioClass® Food Waste Removal Predictive Shelf Life Technology!

    Introducing bioClass® Food Waste Removal Equipment with Predictive Shelf Life Technology

    AutomateandControl.com proudly presents bioClass® Food Waste Removal Equipment, a revolutionary solution in the battle against food waste. Our cutting-edge technology utilizes chemical imaging for predictive shelf life analysis, ensuring that fruits and vegetables reach retailers in optimal condition, thereby minimizing waste.

    Predictive shelf life technology

    The Power of Predictive Technology

    At the core of bioClass® is its state-of-the-art predictive technology. Leveraging machine learning and artificial intelligence, our system offers next-generation food scanning capabilities. By analyzing factors such as color, texture, and chemical composition, bioClass® accurately predicts the shelf life of produce, allowing retailers to manage inventory more effectively and reduce spoilage.

    Unmatched Accuracy and Efficiency

    Our equipment doesn’t just sort and grade; it transforms post-harvest food management. By converting complex data into actionable insights, bioClass® helps streamline operations, enhance food safety, and boost profitability. bioClass® uses deep learning to adapt to varying crop conditions, ensuring consistent high performance and minimal product loss.

    A Sustainable Approach

    Sustainability is at the core of bioClass®’s design. By reducing food waste, we help lower the environmental impact of food production. Our technology is renowned for it’s efficiency and precision in removing defects and foreign materials from various produce.

    Real-Time Data for Better Decisions

    bioClass® also incorporates real-time data analysis, enabling processors to make informed decisions that enhance productivity and quality. This continuous feedback loop ensures that every piece of produce is utilized to its fullest potential, protecting both consumer health and the bottom line.

    Applicable Produce

    Our predictive shelf life technology can be used on a wide range of fruits and vegetables, including but not limited to:

    • Blueberries
    • Strawberries
    • Citrus fruits (oranges, lemons, limes)
    • Apples
    • Bananas
    • Grapes
    • Peaches
    • Pears
    • Cherries
    • Tomatoes
    • Bell peppers
    • Cucumbers
    • Lettuce
    • Spinach
    • Carrots
    • Potatoes

    Why Choose bioClass®?

    1. Advanced Predictive Imaging: Our chemical imaging technology predicts shelf life with remarkable accuracy.
    2. AI and Machine Learning Integration: Leverage cutting-edge AI to enhance sorting and grading processes.
    3. Sustainability Focused: Reduce food waste and environmental impact significantly.
    4. Real-Time Data Utilization: Make better, faster decisions with continuous data insights.
    5. High Efficiency and Low Waste: Achieve unmatched sorting accuracy, ensuring minimal waste and maximum yield.

    Experience the future of food waste management with bioClass® by AutomateandControl.com. Protect your resources, improve your profitability, and join us in creating a more sustainable food supply chain. Visit our website to learn more and schedule a demo today.

    FoodWasteReduction #Sustainability #PredictiveTechnology #AI #MachineLearning #FoodSafety #Innovation #SmartTechnology #RetailSolutions #Agritech #FutureOfFood

  • Automate and Control’s AI Driven Machine Vision Systems for the Food Industry. How does Machine Learning benefit our customers.

    Revolutionizing Food Industry Operations with Chaos AI Vision Systems

    Harnessing the Power of Artificial Intelligence for Seamless, Future-Proof Automation

    At Automate and Control, we are excited to introduce our cutting-edge Chaos AI Vision Systems tailored for the food industry. These systems are not just another technological gimmick; they represent the very core of artificial intelligence integrated into robust machine vision solutions.

    AI at the Core: Future-Proofing Your Operations

    The term “AI” often buzzes through the tech landscape, yet at Automate and Control, it signifies a profound transformation. Our Chaos AI Vision Systems are built around a core of advanced AI, ensuring that they are not just solutions for today but are future-proof for the evolving demands of the food industry. With our AI-driven systems, the dependency on highly trained vision software engineers is a thing of the past. Now, even operators with basic technical know-how can set up and manage complex applications, thanks to our intuitive, machine-learning enhanced setup systems.

    Empowering Operators with Simple, Powerful Tools

    Our vision systems come equipped with user-friendly interfaces that allow operators to easily configure and deploy new applications. This shift from engineer-dependent setups to operator-led configurations reduces setup times and operational downtime, thereby increasing efficiency and reducing costs. The built-in machine learning capabilities ensure that the system continuously learns and adapts, improving its accuracy and functionality with each use.

    Comprehensive Capabilities for the Food Industry

    The Chaos AI Vision Systems are designed to handle a wide array of tasks critical to the food industry:

    • Variable Data Checking: Ensure all product data matches across batches.
    • Random Packed Product Identification: Easily identify and sort products regardless of their packing arrangement.
    • Barcode and QR Code Inspection: Maintain accuracy in code reading to support tracking and distribution.
    • Quality Grading: Automatically assess product quality to ensure only the best items reach consumers.
    • Anomaly Detection: Quickly spot and address deviations from the norm, preventing potential issues before they escalate.
    • Labeling and Date Coding: Check for missing or incorrect labels and date codes, crucial for regulatory compliance and consumer safety.

    Robust Remote Support for Uninterrupted Operations

    Understanding the critical nature of food industry operations, our Chaos AI Vision Systems are backed by comprehensive remote support. This ensures that any operational hiccups can be swiftly and efficiently resolved, maintaining high uptime and productivity. Our expert team can remotely diagnose and rectify issues, reducing the need for on-site visits and further ensuring that your operations run smoothly around the clock.

    Seamless Integration with Upstream and Downstream Equipment

    At Automate and Control, we understand that the effectiveness of our Chaos AI Vision Systems extends beyond their standalone capabilities. Integration with existing production lines and systems is crucial for maximizing efficiency and effectiveness in the food industry. Our vision systems are designed with advanced protocol support to seamlessly communicate with both upstream and downstream equipment, such as sealing, coding, and weighing machines.

    Advanced Protocol Support for Diverse Equipment

    Our Chaos AI Vision Systems support a multitude of protocols, ensuring they can easily connect with various types of production equipment. This interoperability is key to streamlining production processes and enhancing the synchronization between different stages of production. Whether it’s integrating with older legacy systems or the latest in automation technology, our systems are equipped to handle:

    • Industrial Network Protocols: Including but not limited to Ethernet/IP, Modbus TCP, PROFIBUS, and PROFINET, ensuring that our systems can communicate effectively across the most widely used industrial networks.
    • Standard Communication Interfaces: Support for USB, RS-232, RS-485, and wireless communications facilitates flexible connectivity options.

    Enhanced Production Line Efficiency

    By integrating our Chaos AI Vision Systems with sealing machines, for instance, operators can ensure that once the AI system identifies and confirms the quality of packaged goods, the information can directly trigger the sealing process without manual intervention. Similarly, integration with coding and weighing equipment allows for a streamlined workflow where products are inspected, weighed, and coded in one smooth, continuous process, reducing handling times and minimizing the risk of errors.

    Real-Time Data Sharing and Process Optimization

    Our integrated systems allow for real-time data sharing between equipment, enabling immediate adjustments and process optimization. For example, if the vision system detects a discrepancy in product weight, this information can be instantly relayed to the weighing equipment to re-calibrate and correct future measurements. This capability not only enhances accuracy but also significantly improves the overall productivity and efficiency of the production line.

    Customizable Integration Solutions

    Recognizing that each production facility has unique needs, Automate and Control offers customizable integration solutions. Our team works closely with clients to assess their specific equipment and integration requirements, ensuring that the implementation of our Chaos AI Vision Systems enhances overall operational flow and meets the specific needs of each facility.

    Conclusion: A Smarter Way to Automate

    At Automate and Control, we believe in leveraging technology to make industrial operations not just automated but smartly automated. Our Chaos AI Vision Systems embody this philosophy by providing the food industry with a powerful, intelligent tool that is simple to use, future-proof, and capable of handling multiple complex tasks efficiently. Embrace the future of food industry automation with us and ensure your operations are not just running, but running at their optimal best.

    With Chaos AI Vision Systems, the promise of a fully integrated, highly efficient production line is now a reality. By supporting a multitude of protocols and offering seamless integration with a variety of upstream and downstream equipment, our systems not only enhance individual processes but also transform the entire production ecosystem. Step into the future of integrated automation with us and experience unparalleled efficiency and productivity in your food industry operations.

    Visit us at automateandcontrol.com to learn more about how our Chaos AI Vision Systems can transform your food industry operations today.

  • Weinstein Wholesale Meats, Inc. Recalls Raw Ground Beef Burger Products Due to Possible Foreign Matter Contamination

    On April 20, 2023, Weinstein Wholesale Meats, Inc., based in Forest Park, Illinois, announced a recall of approximately 2,122 pounds of raw ground beef burger products due to potential contamination with extraneous materials, specifically pieces of white neoprene, according to the U.S. Department of Agriculture’s Food Safety and Inspection Service (FSIS).

    The affected raw ground beef burger patties were produced on March 14, 2023, and the specific product subject to recall is 10.7-ounce vacuum-sealed packages containing two pieces of “100% Grass Fed & Finished Beef Burger Patties 85% Lean/15% Fat” with “Use/Freeze By 4/11/23” on the package label. These products bear establishment number “Est. 6987” inside the USDA mark of inspection and were distributed to an online distributor, which sold them to customers nationwide.

    The recall was initiated after the establishment received multiple consumer complaints reporting the presence of white “rubber-like” material in the ground beef patty products during preparation. While there have been no confirmed reports of adverse reactions due to consumption of these products, FSIS advises anyone concerned about an injury or illness to contact a healthcare provider immediately.

    Consumers who have purchased these products are advised not to consume them and to either throw them away or return them to the place of purchase. FSIS routinely conducts recall effectiveness checks to ensure that recalling firms notify their customers of the recall and that steps are taken to ensure the product is no longer available to consumers. The retail distribution list(s) will be posted on the FSIS website at www.fsis.usda.gov/recalls when available.

    Consumers with questions about the recall can contact Nicole Schumacher, Chief Marketing Officer, Pre Brands LLC, at 844-773-3663 or reachus@eatpre.com. Members of the media with questions can contact Paul Esposito, Chief Operating Officer, Weinstein Wholesale Meats Inc., at 630-390-9138 or media@weinsteinmeats.com.

    Consumers with food safety questions can call the toll-free USDA Meat and Poultry Hotline at 888-MPHotline (888-674-6854) or live chat via Ask USDA from 10 a.m. to 6 p.m. (Eastern Time) Monday through Friday. Consumers can also browse food safety messages at Ask USDA or send a question via email to MPHotline@usda.gov. To report a problem with a meat, poultry, or egg product, the online Electronic Consumer Complaint Monitoring System is available 24/7 at

    https://foodcomplaint.fsis.usda.gov/eCCF/.

    Hyperspectral Food Foreign Matter Detection Systems bioClass®

    bioClass® Protein Hyperspectral Inspection System
    bioClass® Protein Hyperspectral Inspection System

    The use of bioClass® hyperspectral machine vision solutions from Automate and Control LTD in food processing facilities can help detect foreign materials, such as plastic or rubber, in products before they reach consumers. These systems use advanced imaging technology to scan products as they move along a conveyor belt and analyze their spectral signatures to identify any anomalies.

    In the case of Weinstein Wholesale Meats, Inc.’s recall of raw ground beef burger products, an automated bioClass® hyperspectral machine vision solution could have detected the white neoprene pieces before the products were packaged and shipped. The system could have been programmed to identify any foreign materials that did not match the spectral signature of the ground beef and trigger an alert for inspection or removal.

    Moreover, automated hyperspectral machine vision solutions can operate continuously and in real-time, making them highly efficient at detecting any potential contamination issues that could occur during processing. This level of automation and control provides a high degree of accuracy, reliability, and consistency, ensuring that all products meet strict quality and safety standards.

    In conclusion, the use of hyperspectral machine vision solutions in food processing facilities can help prevent recalls like the one from Weinstein Wholesale Meats, Inc. by detecting foreign materials and ensuring that products meet strict quality and safety standards. By automating and controlling the inspection process, these solutions can improve efficiency, reduce costs, and ultimately, protect consumers’ health and safety.

  • Ground Cumin recalled in the USA after testing finds Salmonella

    Lipari Foods is recalling many Lipari Branded Ground Cumin Tubs manufactured by International Food because of potential Salmonella contamination.

    More information from FDA HERE

    Lipari Foods is issuing a recall for multiple Lipari Branded Ground Cumin Tubs that were produced by International Food due to a possible contamination of Salmonella. The recall was initiated after the United States Food and Drug Administration and The Michigan Department of Agriculture and Rural Development (MDARD) notified the company about a sample of the Ground Cumin that was collected by the Florida Department of Agriculture and Consumer Services and tested positive for Salmonella.

    Recalled products:

    BrandProductSizeLot CodeBest By DateUPC
    LIPARIGROUND CUMIN6 OZ. TUB22091460109/2024094776212620

    As of the posting of this recall, there are no reported illnesses in connection with this product.

    Consumers who have purchased this recalled product should not consume it. They should return it to the point of purchase.

    Ground cumin is a commonly used spice in many cuisines around the world. It is added to various dishes, such as soups, stews, sauces, and marinades, to enhance their flavor and aroma. However, in recent years, ground cumin has been linked to several cases of salmonella infection, a type of foodborne illness caused by the bacterium Salmonella.

    Salmonella is a common cause of food poisoning, affecting millions of people worldwide every year. It is typically found in raw or undercooked meat, poultry, eggs, and dairy products, but it can also contaminate other foods, including spices like ground cumin. Salmonella infection can cause a range of symptoms, such as fever, diarrhea, nausea, vomiting, and abdominal pain. In severe cases, it can lead to dehydration, hospitalization, and even death, particularly in vulnerable populations, such as children, elderly, and immunocompromised individuals.

    The detection of salmonella in ground cumin is critical to prevent its spread and minimize the risk of foodborne illness. Various methods are used to detect salmonella in food, including culture-based methods, rapid methods, and molecular methods. Culture-based methods involve the isolation and identification of salmonella bacteria from food samples using selective and differential media. These methods are time-consuming and labor-intensive but provide a definitive answer about the presence or absence of salmonella.

    Culture of Salmonella bacteria illustration

    Rapid methods, such as immunological assays and polymerase chain reaction (PCR) assays, use antibodies or nucleic acid probes to detect salmonella in food samples. These methods are faster and easier to perform than culture-based methods and can provide results in hours or minutes. However, they are less sensitive and specific than culture-based methods and may yield false-positive or false-negative results.

    Molecular methods, such as whole-genome sequencing (WGS), are the most advanced and accurate methods for salmonella detection. WGS analyzes the entire genetic material of salmonella bacteria and can identify their unique DNA fingerprints. This method can detect even low levels of salmonella in food samples and can distinguish between different strains and serotypes of salmonella. WGS is also useful for tracking the source and transmission of salmonella outbreaks and for developing targeted interventions to prevent their recurrence.

    In conclusion, the detection of salmonella in ground cumin is crucial for ensuring food safety and preventing salmonella infection. Various methods are available for salmonella detection, including culture-based methods, rapid methods, and molecular methods. Each method has its advantages and limitations, and the choice of the method depends on the specific needs and constraints of the food industry and regulatory agencies. WGS is the most advanced and accurate method for salmonella detection and is likely to become the standard method in the future.

    Salmonella can contaminate ground cumin at various stages of the supply chain, from the farm to the processing plant to the distribution center to the retail store. The most common sources of salmonella in ground cumin are contaminated water, soil, and animal feces that come into contact with the spice during cultivation, harvesting, or processing. Salmonella can also be introduced into ground cumin by infected workers, contaminated equipment, or inadequate sanitation practices in the processing and packaging facilities.

    To prevent salmonella contamination in ground cumin and other spices, food producers and processors should implement good agricultural practices (GAPs) and good manufacturing practices (GMPs) that include hygiene, sanitation, and food safety protocols. These measures should include testing for salmonella and other pathogens, maintaining clean and sanitized facilities and equipment, training workers in food safety practices, and implementing quality control procedures to ensure the safety and quality of the final product.

    Consumers can also take steps to prevent salmonella infection from ground cumin by storing the spice in a cool, dry place, using it within its expiration date, and cooking it to recommended temperatures. Consumers should also be aware of food recalls and follow the instructions provided by the manufacturers and regulatory agencies.

    Hyperspectral imaging has the potential to detect salmonella in ground cumin. Hyperspectral imaging is a non-destructive technique that uses light to create a detailed image of an object’s spectral characteristics. By analyzing the spectral signature of an object, hyperspectral imaging can detect differences in the chemical composition of the object, including the presence of pathogens like salmonella.

    Several studies have explored the use of hyperspectral imaging to detect salmonella in various food products, including spices like black pepper and cumin. These studies have shown promising results in detecting salmonella in spices using hyperspectral imaging, with high accuracy and sensitivity. Hyperspectral imaging can also detect other contaminants in spices, such as insect fragments and mold.

    The use of hyperspectral imaging for salmonella detection in ground cumin would require the development of a spectral library of salmonella and non-salmonella samples. This library could be used to identify spectral differences between contaminated and non-contaminated samples of ground cumin. However, the cost and technical expertise required for hyperspectral imaging may limit its use in routine testing for salmonella in ground cumin and other food products until now. Automate and Control LTD’s bioClass® system Online High Speed Non-destructive Real Time Chemical Analysis can be deployed to automatically check 100% of inbound produce.

    Hyperspectral Food Inspection – Online High Speed Non-destructive Real Time Chemical Analysis bioClass®

    bioClass® Protein Hyperspectral Inspection System
    bioClass® Protein Hyperspectral Inspection System

    Overall, hyperspectral imaging has the potential to be an effective tool for detecting salmonella in ground cumin, but more research is needed to optimize and validate its use in food safety applications.

  • Tyson Foods Ground Beef Recall: How bioClass® Next Generation Automated Food Inspection Systems Could Have Prevented this.

    bioClass® Protein Hyperspectral Inspection System
    bioClass® Protein Hyperspectral Inspection System

    Tyson Foods recently issued a recall for over 94,000 pounds of ground beef products due to concerns about possible E. coli contamination. This recall has once again highlighted the importance of food safety and the potential risks associated with food-borne illness.

    The recall includes several different brands of ground beef sold under different names, and the affected products were shipped to stores in multiple states across the US. This has led to significant concerns among consumers about the safety of ground beef products and has also impacted the reputation of Tyson Foods.

    Food safety is a critical issue for any food manufacturer, and it is essential to take proactive measures to prevent contamination incidents. One of the best ways to prevent contamination is through the use of automated food inspection systems.

    The bioClass® Hyperspectral Food Inspection System is an advanced imaging technology that can quickly and accurately detect contaminants in food products, including E. coli and other harmful bacteria. The system uses hyperspectral imaging, machine learning algorithms, and artificial intelligence to analyze food products in real-time and identify any potential contaminants.

    Using an automated food inspection system like the bioClass® can help prevent contamination incidents before they occur, which can save manufacturers like Tyson Foods millions of dollars in recall costs and legal liabilities. In addition, it can help protect consumers from potentially harmful food-borne illnesses.

    By using the bioClass® system, food manufacturers can also improve the overall quality of their products by detecting other quality issues like discoloration or improper packaging. This can help improve customer satisfaction and prevent negative reviews or reputation damage.

    In conclusion, the recent Tyson Foods ground beef recall underscores the importance of food safety, and the need for manufacturers to take proactive measures to prevent contamination incidents. Automated food inspection systems like the bioClass® Hyperspectral Food Inspection System can help prevent contamination by quickly and accurately detecting potential contaminants in food products. Implementing these systems can improve the safety and quality of food products and protect both consumers and manufacturers from the potential risks associated with food-borne illness.

    Detection of E.Coli with bioClass® Systems HERE

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    Food Fraud Links and Solutions HERE