Photoneo 3S-MCMP-3AF0F Motion Camera 3D Color M+ (Red) Industrial 3D Vision Camera

The Photoneo Motion Camera 3D Color M+ (Red), Model 3S-MCMP-3AF0F, is an advanced industrial 3D vision camera that combines high-precision depth scanning with true-color RGB imaging, enabling powerful machine vision and automation applications. Designed for demanding manufacturing environments, this rugged camera captures detailed 3D point clouds synchronized with vibrant color data — even on moving objects.

With enhanced sensing performance over standard M-series models, the Motion Camera 3D Color M+ provides richer, high-resolution 3D and color information for accurate object recognition, surface inspection, dimensional measurement, and quality control. The integrated full-color imaging improves surface analysis and defect detection, enabling more reliable classification and inspection results in dynamic automation workflows.

Housed in a robust red industrial enclosure, this camera integrates seamlessly into robotic cells, conveyor systems, and automated inspection stations. Whether deployed in automotive production, electronics manufacturing, logistics automation, or factory quality control systems, it delivers consistent, high-fidelity 3D color data that enhances operational efficiency and reduces errors.

Key Features:

• High-resolution 3D scanning with synchronized RGB color capture

• Enhanced point cloud quality for advanced vision tasks

• Ideal for robotic guidance, bin picking, and automated inspection

• Durable industrial-grade design for continuous use

• Easy integration with automation and machine vision systems

Typical Applications:

• Robotic pick & place and bin picking

• Inline quality inspection and surface defect detection

• Precision dimensional measurement

• Automated assembly validation

• Inspection in manufacturing and logistics environments

The Photoneo Motion Camera 3D Color M+ (Model 3S-MCMP-3AF0F) offers a reliable, high-performance solution for modern industrial automation, smart manufacturing, and robotic vision systems.