Engineering-first robotics, AI, maker hardware, STEM, and creator technology reporting
TVG Report explains robot camera field of view is a calibration problem, not just a lens spec with practical engineering context, risks, source links, and.
Robot Camera Field of View Is a Calibration Problem, Not Just a Lens Spec Read More
Before blaming the model, test the lighting. Robot vision projects need exposure, glare, shadows, calibration targets, frame rate, and field logs in the checklist.
Robot Camera Lighting Should Be Tested Before You Blame the Model Read More
A clean calibration target is only part of robot vision setup. TVG explains the lighting, exposure and repeatability checks that make checkerboard and ArUco calibration data usable.
Robot Camera Calibration Needs a Lighting Checklist, Not Just a Checkerboard Read More
Calibration is not glamorous, but it is one of the cheapest ways to make robot vision more repeatable before blaming the model, the camera or the lighting.
Robot Camera Calibration: Why Checkerboards Still Matter in 2026 Read More
Edge AI cameras can improve robot perception, but builders should evaluate latency, lighting, calibration, depth limits, software support, and failure behavior before buying.
Edge AI Cameras for Robotics: What Builders Should Check Before Buying Read More