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MACHINE VISION SOLUTIONS
We provide different types of machine vision solutions commonly used in automation:
2D Vision:
2D vision involves analyzing images captured in two dimensions (height and width). It's commonly used for applications such as object recognition, positioning, barcode reading, and optical character recognition (OCR).
Applications:
Automated inspection and quality control on assembly lines.
Sorting and identifying products based on labels or markings
Surface Inspection:
Surface inspection involves examining the surface characteristics of objects or materials to detect defects, imperfections, or inconsistencies.
Applications:
Quality control in manufacturing to detect surface defects in materials like glass, metal, or plastics.
Pattern Recognition:
Pattern recognition involves identifying specific patterns or features within an image, allowing machines to recognize and classify objects based on predefined patterns.
Applications:
Identifying specific parts or components in assembly processes.
Sorting items based on patterns or shapes.
Object Detection and Localization:
Object detection involves identifying and locating specific objects within an image or video stream. It's used for automation and robotics to guide actions based on detected objects.
Applications:
Robotics for automated pick-and-place tasks in warehouses and manufacturing.
Automated guided vehicles (AGVs) for navigation and obstacle avoidance.
Color Vision:
Color vision involves analyzing the colors within images to differentiate and classify objects based on color properties.
Applications:
Sorting products based on color in manufacturing and logistics.
Detecting color-based defects in products.
Motion Analysis:
Motion analysis involves tracking and analyzing the movement of objects within an image or video, providing valuable information for automation and control systems.
Applications:
Monitoring and optimizing conveyor belt speed and product flow.
Analyzing human movements for applications like gesture control.
