I present a new blog post! This time, the topic is weekly innovation. Everyone strives to generate a fresh idea at least once a week, don’t they? We do too! Today’s theme is “Automating the Daily Inspection System,” which means developing a system that automatically inspects products.
State-of-the-art automated inspection systems, leveraging the latest technology, are becoming indispensable in our daily lives. Let me introduce an automated inspection system utilizing the AI Detector for product recognition!
This system seamlessly handles everything from checking roundness to detecting distortions and deformations and verifying quantities. Moreover, it can handle objects with moderate reflectivity thanks to the AI Detector’s keen discernment.
Hardware shouldn’t be overlooked either. A high-performance computer and at least a 1060 graphics card are required, along with a 1.3 MP camera, a 25mm fixed lens, and a 56-light LED ring. This shining device works like the eye of a robot!
So, how does the workflow operate? The object is photographed, uploaded to the computer, and analyzed by AI software, which conducts real-time inspections—quick and accurate! This is the power of 21st-century automation.
Now, what about the inspection results? Remarkably, the AI software can identify objects with up to 98% accuracy! It won’t mistakenly recognize scratches or stains and can perform inspections from various positions, updating images as needed. This is the magic of cutting-edge technology!
The benefits are numerous: 98% accuracy and an incredibly fast processing speed of less than 500ms per image. The user-friendly software is accessible to any employee, storing results for quick retrieval. It adapts to various models, offers software upgrades at will, and can be used on the go. This is truly the inspection system of the future!
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By implementing this system, you can conduct visual inspections, count products, and identify items. This is the next evolution of automated inspection, today’s innovation and potentially tomorrow’s standard!
Image detection of distortion and deformation of circular objects
