Automated Visual Inspection for Consumer Goods

DeepInspect- AI-Powered visual inspection software for consumer goods

SwitchOn’s DeepInspect leverages AI-powered quality inspection and automated visual inspection to revolutionize consumer product defect detection across various industries. By utilizing image recognition for quality control and machine vision for consumer products, it provides real-time, accurate defect detection in consumer products, including packaging defects and product flaw detection. DeepInspect integrates optical character recognition for consumer products, ensuring accurate labeling and batch code verification. The system offers high-precision visual defect detection in packaging and continuous quality control in consumer goods manufacturing. By incorporating deep learning in consumer product inspection, it automatically identifies even the smallest flaws, reducing manual inspection costs and improving overall product quality. With automated visual inspection for consumer goods, DeepInspect enhances consumer product quality assurance, ensuring only the highest standards are met across products like shampoo, soap, toothpaste, snacks, instant noodles, biscuits, toothbrush, etc

Defect detection in consumer products

Machine vision for consumer products with 99.5% Accuracy

Impact

DeepInspect leverages  deep-learning to automate consumer goods quality control. It detects product defects, packaging flaws, surface defects and verifies optical characters with high accuracy, ensuring real-time, automated inspection for improved quality assurance and defect-free products in consumer products manufacturing

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Inquiry Form

    What cameras does inspection software Deepinspect support?

    We support Area Scan, Line Scan, and Thermal cameras. Our software is compatible with industry-standard vendors like Basler, Baumer, Allied Vision, FLIR, and others.

    How many images are needed to train DeepInspect's machine vision model?

    DeepInspect requires fewer than 200 good images for model training, significantly reducing setup time for defect detection 

    Does DeepInspect need defective (NG) images for AI model training?

    No. DeepInspect uses unsupervised AI, eliminating the need for NG images in training.

    How long does it take to train a model with DeepInspect?

    Model training is completed in less than 45 minutes, allowing rapid deployment of vision inspection system

    How quickly can a production line demo be done with DeepInspect?

    A line demo for DeepInspect system can be conducted within a day, showcasing its fast implementation and ease of use

    What industries can benefit from using DeepInspect in quality inspection?

    DeepInspect is ideal for industries such as automotive, electronics, and consumer goods manufacturing, providing automated quality inspection for high-precision plastic molded parts.

    What line speed does DeepInspect Support?

    DeepInspect supports upto 1000+ parts per minute