AI Powered Biscuit Inspection
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Introduction
Biscuit manufacturers often face many customer complaints and compliance issues due to the product manufacturing issues. These unidentified defects can significantly impact their brand reputation, and fines. Additionally, any presence of foreign particles can compromise hygiene standards, leading to severe consequences like customer dissatisfaction, product returns,etc. ultimately affecting the bottom line.
To address these challenges, leading manufacturers are now using DeepInspect®- an AI powered biscuit inspection system.
The Capabilities of DeepInspect® in Biscuit Inspection
Manufacturers can inspect biscuits of any size or shape, with standard dimensions being 80 x 30 mm. Furthermore, using DeepInspect® means that the waste caused by such a system is only limited to less than 0.5% which means adoption can be immediate, ensuring reliability and accuracy. Let us explore the inspection capabilities of DeepInspect:
DeepInspect®: AI-Powered Visual Quality Inspection Software for Biscuit Manufacturers
Inpack Inspection
Manufacturers can leverage DeepInspect in detecting a wide range of defects including
- Biscuit cracks inspection
- Inspect foreign particle presence in biscuits
- Biscuit logo inconsistencies inspection
- Half-baked biscuit inspection
- Visible or oozing cream inspection
- Extra biscuits sticking together
- Biscuit holes inspection etc.
Outpack Inspection
Manufacturers can ensure comprehensive packaging inspection using DeepInspect by detecting
- Surface defects
- Artwork defects
- Packaging and label defects
- Optical character recognition and verification
How AI powered biscuit inspection works?
The AI-powered visual inspection setup involves placing a camera from the top for each line, ensuring thorough monitoring at a line speed of 180 to 200 parts per minute. The setup includes an industrial camera and lighting, with DeepInspect software at the heart of the system. The AI models within DeepInspect software can be trained in under 45 minutes using fewer than 200 good biscuit images.
When a surface defect is detected in a particular biscuit, the system triggers the rejection mechanism. The pusher mechanism then pushes the defective biscuit from the conveyor tray, maintaining a seamless production flow. Also, the defect classification feature in the DeepInspect software enables users to pinpoint the specific defect that caused a biscuit to be rejected.
Conclusion:
Biscuit manufacturers can effectively run their production lines by eliminating the requirement for three personnel and optimizing labor costs. With a packaging inspection speed of 180 to 200 ppm, DeepInspect guarantees that only the best quality biscuits reach the market. This not only enhances customer satisfaction but also strengthens brand reputation, ensuring that your products consistently meet and exceed export quality standards.
Let's Discuss How We Can Transform Your Operations!
FAQ’s :
DeepInspect uses readily available industrial-grade hardware to ensure high repeatability and long lifespan. We provide a basic kit to help you get started, which includes a controller, camera, lights, and a PLC.
DeepInspect supports inspection speeds of up to 1000 parts per minute. The final speed depends on various factors, such as the number of cameras, lighting, and other line conditions. If you have a requirement above 1000 PPM, please contact us.
DeepInspect supports all GenICam-compliant USB 3.0 and GigE cameras, giving you the flexibility to work with the hardware you already have on your production line. Fully tested and compatible brands include Basler, IDS, Baumer, Omron Sentech, Allied Vision, FLIR, HIK Robot, and Lucid Vision. We also support Area Scan, Line Scan, and Thermal cameras, covering a wide range of inspection environments and product types.
DeepInspect is built specifically for defects that are random and unpredictable in nature, such as cracks, scratches, surface anomalies, missing components, seal failures, and label errors. Unlike rule-based systems that rely on a defect appearing at a fixed location or in a fixed pattern, DeepInspect uses AI models trained on your actual production data to recognize defects regardless of where they appear or how they look. This is exactly where AI inspection becomes critical: when a crack can appear anywhere on a part, or a scratch has no consistent shape or size, traditional vision systems fail. DeepInspect is trained to catch what others miss. The system has been successfully deployed across over 1,000 unique SKUs in automotive, pharma, electronics, and FMCG industries.
Curious to Learn More?
Download the full use case below!