Overview.ai - AI Vision Systems

For decades, deploying a machine vision system was a daunting project. It meant weeks of configuration, complex programming, and relying on expensive integration specialists. The perception that you need a team of engineers to train a defect detection model is still common—but it's completely outdated.

With a modern, no-code platform, your factory team can deploy a powerful AI inspection in less time than a lunch break.

Here's a step-by-step look at how simple the process is with Overview.ai's Snap platform.

Step 1: Mount the OV20i Camera (Approx. 10 Minutes)

The OV20i is an all-in-one system. It has integrated lighting, a powerful processor (NVIDIA GPU), and a swappable lens. You don't need to source separate lights, lenses, and computers. Simply mount the camera at the inspection point and plug it in.

Step 2: Gather Your Samples (Approx. 15 Minutes)

You are the expert on your product. Grab a small set of production parts—around 20-30 "good" examples and a handful of parts with known defects. The key is to show the AI the range of what's acceptable and what's not.

Step 3: Teach the AI with the Snap Platform (Approx. 20 Minutes)

This is where the magic happens.

Connect to the OV20i from a laptop or tablet.
Present a "good" part to the camera. In the Snap interface, draw a box around the area to inspect and label it "OK."
Present a "defective" part. Draw a box around the flaw and label it "NG" (No-Go).
Repeat this for a few different examples. You are teaching the AI by showing, not programming.

Step 4: Train and Deploy (Approx. 5 Minutes)

Once you've provided the examples, just click "Train." Because all the processing happens directly on the device's integrated NVIDIA GPU, the model trains in minutes, not hours or days. The system will immediately start inspecting parts, providing real-time feedback. You can see its decisions and refine its learning with new examples on the fly.

This entire process is possible because on-device AI eliminates the need for cloud processing, data transfers, or specialized programming. You have everything you need in one box. The power to deploy advanced AI is no longer limited to specialists; it belongs to the experts on your factory floor.

Why This Matters for Manufacturing

Traditional vision systems required extensive programming knowledge and weeks of setup time. With Overview.ai's no-code approach, your quality engineers can deploy AI inspection systems as easily as they would configure any other piece of factory equipment.

This democratization of AI technology means faster problem-solving, reduced dependency on external integrators, and the ability to iterate quickly as your production requirements change.

Real-World Impact

One automotive supplier recently told us: "We went from manual inspection to AI-powered quality control in under an hour. Our team was able to catch defects we were missing before, and the false positive rate dropped to nearly zero."