OPT’s business upgrade strategy is to transfer its existing industrial vision hardware, software and inspection experience to robotics, then expand their application value through AI software and production-line partnerships.
What is OPT changing as it moves from industrial inspection to robotics?
OPT is transferring the high-precision positioning, defect detection and dynamic target tracking technologies it has developed in industrial settings to robotics. Compared with its existing industrial inspection applications, the new initiative targets environmental perception, positioning and navigation, and human-machine interaction for mobile robotic terminals, expanding the scope of its vision technology.
This extension builds on its existing product portfolio: the company’s proprietary product lines include algorithm libraries, vision platforms, light sources, lenses, industrial cameras and 3D sensors. Its existing solutions have been used in processes including semiconductor wafer production, packaging and testing, providing an industrial application foundation for the technology transfer.
How does the robotics initiative connect to actual production lines?
On the vision component side, the company has established a presence in four areas: dToF cameras, iToF cameras, binocular structured light and LiDAR. On that basis, the material concludes that the company has developed a complete robot vision solution system; its business link is the supply of key vision components needed for robot perception.
On the systems application side, OPT and Dobot have jointly developed an optical-intelligence embodied industrial solution that combines vision perception, embodied intelligent robots, industrial AI and industry-specific large models, with the aim of building flexible production lines that can learn and optimize as they operate. The partnership connects vision capabilities to robot operations and production-line optimization, providing an important basis for the material’s positive view of the business’s upgrade into higher-value areas.
What role does AI software play in this upgrade path?
The company has launched DeepVision3 and a web-based AI platform to improve vision development and collaborative deployment, respectively. The material says DeepVision3 has improved stability, ease of use, interactive annotation and multimodal data processing capabilities; the web platform uses cloud collaboration to improve the efficiency of project collaboration and model deployment, while making AI functions accessible to small and medium-sized enterprises through a SaaS model.
The upgrade path viewed favorably by the material therefore encompasses component supply, vision software and industrial solutions. Expansion into higher-value areas depends on these capabilities gradually developing synergy in robotics; the established product directions and the subsequent business upgrade anticipated by the material are at different stages.
