Techman Robot presented an AI-based inspection system and automated deployment tools at the International Robot Exhibition in Tokyo. The company introduced a high-speed AI vision inspection system that operates while production lines remain in motion. According to the company, the system combines the motion control of its collaborative robots with AI-based image analysis to inspect components without stopping the line. Techman Robot stated that the approach replaces sampling and pause-based inspections and can reduce average inspection time by 40 to 50 percent.
The company said it uses the NVIDIA Omniverse platform to simulate robot motion and vision algorithms before installation. The system is aimed at inspection tasks in sectors such as automotive seat components and server assembly, where manufacturers require high accuracy and consistency.
Techman Robot also presented an AI training method designed to shorten the setup time for vision-inspection applications. The company said the technology allows production workers to annotate and train models directly on the line, reducing reliance on AI specialists and cutting configuration time by as much as 90 percent.
A printer-component inspection setup integrating robots, grippers, and AI vision was also shown. Techman Robot said the system is intended for electronics manufacturing processes that require precise assembly checks.
In addition, the company promoted a rapid-deployment package for its collaborative robots. This includes a palletizing system that supports loads up to 35 kilograms and is designed for warehouse and packaging workflows. According to the company, the package is intended to shorten installation time and accelerate returns on automation investments.
