What is a 3D machine vision / Robot vision?

3D Machine Vision refers to the technology used to detect the shape, position, and movement of objects in three-dimensional space. Unlike traditional 2D machine vision, which captures only flat images, 3D machine vision adds depth information to capture the full three-dimensional data of an object. This technology is essential for tasks such as automatic object recognition, positioning, and size measurement. In robot vision, robots use 3D machine vision to accurately recognize objects in their environment and perform tasks. 3D machine vision systems use technologies like laser scanners, 3D cameras, and stereo vision to capture real-time data about an object's height, shape, and tilt. This data is then fed back to robots, allowing them to perform precise movements, automate complex tasks such as assembly, inspection, and packaging. Advanced algorithms analyze visual data and help robots make optimal decisions based on the environment.

Application of 3D machine vision / Robot vision

✅ Assembly Line Automation
Robot vision is used for automated assembly on manufacturing lines. A 3D camera recognizes the position of parts, and robots perform precise assembly, resulting in reduced time and increased accuracy.
✅ Quality Inspection
3D machine vision is used for measuring the dimensions and shape of products. For example, after assembling automotive parts or electronics, the system checks for dimensional accuracy and detects any defects, enhancing product quality.
✅ Logistics and Packaging
Robot vision is applied in systems that automatically package products of various sizes and shapes. The 3D camera identifies the product's shape and determines the best packaging method.
✅ Medical Equipment Automated Inspection
In the medical industry, 3D machine vision is used in robotic surgery systems and diagnostic equipment for automatic inspection. It helps ensure the precision of medical parts and tools, preventing defective products from reaching patients.

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