Deep-learning based visual inspection in the food and beverage industry greatly enhances product quality and safety, preventing costly recalls and significantly increasing efficiency. Traditional methods, such as manual inspection, are time-consuming, subjective, and prone to error, resulting in inconsistencies and potentially unsafe products reaching customers.
PEKAT VISION uses proprietary deep-learning algorithms and neural networks to accurately analyze vast amounts of visual data in real time, detecting defects and anomalies that conventional methods may miss. Its modules can identify solid contaminants, check packaging integrity and completeness, verify correct labeling, read best by/sell by dates, and much more.
Product Quality and Consistency Inspection
Deep-learning visual inspection detects defects and ensures product consistency in the production of delicate food items such as cookies.
3D Defect and Breakage Detection
3D visual inspections can identify defects on products where standard 2D vision systems did not achieve satisfactory results.
Contamination Inspection
Early identification of physical contaminants in packaged food can contribute to product safety, reduce waste, and offset the risk of recalls and damage to brand reputation.
OCR/ OCV
The OCR module, often complemented by our deep-learning OCV (Optical Character Verification) module, is used for identifying products past their best before/use by dates, product sorting, and food tracking.
Packaging Content Inspection
In the image above, PEKAT VISION Detector and Classifier modules verify the content of the packaging by identifying missing items. This ensures that the right items are in their proper place and that all items are present and undamaged.
Packaging Inspection
The Anomaly Detector module identifies irregularities on various objects, such as the coffee capsules pictured above, where the aluminum foil does not cover the entire extended rim area, potentially leading to leakage of the contents.
Packaging Inspection – Cleanliness
In the image above, empty bottles are inspected for contaminants prior to being filled.
Final Packaging Inspection
Prior to being sealed and shipped to the customer, wine bottles in a wooden box are inspected and counted. PEKAT VISION helps identify damaged bottles or incomplete boxes, avoiding unpleasant surprises for the customer.
Anomaly Inspection in Meat Processing
The Anomaly Detector module effectively handles final packaging inspection in meat production, focusing on detecting contaminants in packaging with hamburgers, cevapcici, and hotdogs before sealing.
Why PEKAT VISION
And more! Ask for a free feasibility study for your specific case. Our software is highly versatile and can be customized to suit nearly any intended application.