Overview AI

Honored to be named by Automate Show alongside some strong companies. We will have a lot to show between now and Las Vegas. Overview AI builds the full stack: the camera, the compute, and the AI software in one edge device. No cloud round-trip, no separate integration project, no vision expertise required. Production-ready inspection that anyone on the quality team can deploy and maintain. Stay tuned for something new from us coming this fall!

Thanks to Jim Tatum and the Vision Systems Design team for having Chris on! He covers a lot of ground here: why traditional machine vision struggled with variability, how synthetic defect generation changes the data collection problem, and where AI inspection actually has limits. Worth a listen if you work in manufacturing automation.

Most OCR inspection projects start the same way: mount the camera, set up lighting, configure character dictionaries, train font libraries, and define rules for every text format on every SKU. That software setup can take days before a single part gets inspected. Overview AI's OCR model cuts out a majority of this setup. As a deep learning model, not a rules-based system, there are no font libraries to build, no character dictionaries to configure, and no deterministic rules to maintain. The model predicts character sequences directly from the image, and its setup only requires some parameter tuning against the actual production parts. Visit the link in the comments to learn more about how a large packaging OEM deployed OCR inspection in 45 minutes across eight SKUs of varying size and shape with zero training images. When deployment speed matters, the bottleneck has never been the camera. It is the software configuration required before it can run. Overview removes this friction entirely. #ManufacturingAI #QualityControl #MachineVision #OCR #Industry40

Thanks, Jake, for the timely conversation. Synthetic defect generation, faster NPI, and simplifying complex inspection tasks that used to take months is how we scale quality. Let's talk about how we can support your line. https://lnkd.in/gSje8Gb3

What you're looking at is a vent obstruction. Your visible light camera would have passed it. Thermal inspection catches what visible light misses. OVX Thermal pairs the OVX edge AI platform with a FLIR A70 long-wave infrared camera and runs the full Overview AI software stack on top. Same model training workflow, same integrations, same edge inference. The input is heat, not light. Applications where this matters: seal integrity, coating coverage, thermal uniformity, hot spot detection, battery cell checks, and vent obstruction on assembled components, like the one shown here. If your line has a failure mode that only shows up as a temperature signature, a visible light camera will never catch it consistently. That is not a threshold problem. It is the wrong sensor. Check out the comments to learn more about OVX Thermal.

Getting your vision inspection result to actually do something like stop a conveyor, flag a record in your MES, or trigger an operator alert can be a long tedious process. For most teams, that step means a custom integration project. Someone writes the PLC logic, someone else maps the data fields, and by the time it is done the engineer who built it is the only one who understands it. Change the line, change the recipe, change the downstream system, and you are back to square one. OV Auto-Integration Builder lets anyone on the quality team describe what they need in plain language and generates a production-ready Node-RED flow automatically. No coding or week-long integration project required. Allowing the inspection result to close the loop on the line, not open a new project. Check out the link in our comments to learn more. #ManufacturingAI #Industry40 #PLCProgramming

Automate Show 2026 is a wrap and what a week it was! Russell got on stage Tuesday and made a point that kept coming up in conversations all week: AI accuracy in vision inspection is solved. Modern deep learning models running on edge GPUs have effectively solved the accuracy problem. The two problems slowing teams down today are getting enough defect data to build a strong model without waiting months for real failures to accumulate, and connecting inspection results to the rest of the line without writing custom code every time. This is why OV Auto-Defect Creator Studio and OV Auto-Integration Builder exist. It was great working with the images you all brought to the booth to see how defect generation can build training sets on products from your own line. Watching the reaction when synthetic defects appear on a part someone handed us minutes earlier never got old. To everyone else we met this week, thank you. The conversations we had about your lines, your inspection challenges, and what faster deployment could mean for your teams were exactly what Automate is for. We are looking forward to the next one! #Automate2026 #AIVision #ManufacturingAI #OverviewAI

A great shoutout from Trista as Automate 2026 is underway. Her research across 40+ vision AI companies captures something we work to deliver every single day: earning trust in manufacturing means walking in with deep application knowledge, not just a promising demo. Come stop by our booth #36027.

Most full-board inspection systems still give you just enough detail to see the board. Not always enough to truly verify it. At that level, critical features can look visible without being fully inspectable. A 0402 marking may be readable, but not reliably readable at production speed. QFP pins may be visible, but not detailed enough to confidently assess solder joint shape or catch a micro bridge. Black IC topmarks can also blur together when resolution and lighting are working against you.  That is the real gap in inspection: looking clean is not the same as being verified clean. OVX High Res changes that.   With a single 65 MP capture, you get dramatically more usable information per component. More detail on fine pitch pins. More clarity on topmarks. More confidence for OCR and defect detection. More of the board becomes verifiable in one triggered frame, at line speed, on device.   This is what higher resolution should mean in inspection. Not just a sharper image, but more evidence to make a better decision.   OVX High Res captures the full assembly in one frame, so every component, marking, and joint can be inspected with more confidence. Seeing is easy. Verifying is the point. Learn more at overview.ai/products/ovx