3D Vision Inspection Robotics Applications for Manufacturing
July 8, 2023Automated Temperature Scan Tunnel
January 4, 2024Proper inspection is essential in the food industry. The loss of revenue and customer trust that occurs after recalls can crush a business and expose it to fines or litigation. The government and consumers have zero tolerance for error.
Traditional vs. Machine Vision Inspection
Traditional inspection processes rely on people to check for safety, quality, and consistency. This is expensive, subjective, and open to human error from inexperienced or tired employees. Machine vision systems allow a food producer to ensure high levels of safety and consistency among its products while keeping costs down.
Machine vision systems rely on cameras and software to automatically check products on a high-speed manufacturing line without human intervention. These systems can detect 100% of inconsistencies without any human error of their own. They can inspect products far faster than human inspectors and work 24 hours a day, 7 days a week, without breaks or loss of efficacy due to fatigue, illness, or inexperience. And when human oversight is needed, machine vision systems can also log data gathered in their automatic inspections for later review.
Machine vision systems can support your food manufacturing business in the following areas:
1. Safety Inspection
Machine vision systems can identify foreign material that infiltrates food packages and alert you to the problem. Cameras can rapidly and automatically read test strips to weed out contaminated food. Or spectral cameras can identify contaminants we can’t see, without needing anybody to actually touch the food. Machine vision systems can identify cross-contamination, which could cause problems for consumers with food allergies, exposing your company to lawsuits and bad press. Inspection for color, ripeness, spoilage, and proper cooking time will also guarantee safe and delicious food to keep customers coming back for more.
2. Track and Trace
Machine vision systems can track ingredients and finished, packaged items during production. They can identify mismatched product codes, dates, lots, and barcodes to prevent food from leaving your line with incorrect data. They can also stop illegible or missing codes. And machine vision systems compile a tracking history of each package for future reference.
3. Labels
Mislabeled food can cause harmful allergic reactions in customers and lead to a costly, government-mandated recall or legal liability for your company. Machine vision systems can identify products mislabeled due to machine or human error and remove them from the manufacturing line. These systems can also detect misaligned or wrinkled labels that might damage your company’s reputation by implying that you are sloppy or careless. With machine vision systems, all your products will look uniformly neat and professional.
4. Packaging
Machine vision systems can catch misprinted or illegible packaging before those items leave your production line. They also notice when labels for a different product or an alternate shipping destination are substituted for the correct label, or when lids don’t match the rest of the packaging. Machine vision can verify the integrity of recycled packaging materials as well, ensuring they are clean and in good repair.
5. Container Integrity
Machine vision can protect your company from loss caused by spillage and spoiling from improperly sealed containers. If your containers do not seal properly, a machine vision system will identify the breach. Fill levels are also checked to ensure consistency among your products. These systems can confirm the presence of foil covers and anti-tamper seals and make sure they are properly affixed.
Ready to Get Started?
Motion Automation Intelligence has machine vision systems for food and beverage inspection and can help you with your verification needs. Our consultants can craft the perfect system to save money and improve product quality and consistency.
Reach out to a Motion Automation Intelligence machine vision specialist today.