Overview
Manuals
Core Technical Capabilities
Operating principle
Core Applications
Features:
- 2 megapixel camera supporting type Controller
- Driven by a multi-core processor executing real-time data handling
- Formed for space-saving panel-mounting layouts within active factory automation enclosures
As the core of the CV-X series advanced image processing system, it is primarily used for defect detection, dimensional measurement, contour recognition, and robot vision guidance on high-precision production lines. This controller supports parallel input from multiple cameras and is backward compatible with various color or monochrome area array cameras, including 2MP, 1MP, and 47MP sensors. It can reliably perform real-time online judgment of various minute foreign objects and appearance defects, such as scratches on metal parts and resin stains.
This hardware module features advanced image preprocessing capabilities and intuitive interactive settings. It integrates over 24 powerful filters and image preprocessing algorithms (such as LumiTrax™ optical tuning, linear defect extraction, and interference region control) to effectively isolate environmental interference caused by workpiece surface roughness, uneven background materials, or changes in external lighting, thereby significantly reducing false detections and lowering the false alarm rate.
The CV-X320F KEYENCE 2 megapixel camera supporting type Controller may still be available for purchase and support from Moore Automated Company beyond End-Of-Life (EOL) by the manufacturer (OEM).
KEYENCE CV-X320F 2 megapixel camera supporting type Controller MANUAL(Datasheets), Link
Important Notice: Other accessories, manuals, cables, calibration data, software, etc. are not included with this equipment unless listed in the above stock item description. All prices are shown in USD.
Camera Sensor Support: Optimized for 2-megapixel camera modules (supports both monochrome and color versions).
Resolution Formats: Natively supports industry-standard production frame output, including 1600 × 1200, 1024 × 960, and 1000 × 1000 pixels.
Multi-Camera Integration: Configurable to coordinate multiple cameras from a single processor node to perform multi-angle detection simultaneously.
Advanced Imaging Technologies: Supports Keyence's proprietary algorithm tools, such as LumiTrax™ (which combines high-speed segmented illumination and shadow-based shape recovery processing to eliminate background glare and clearly detect 3D surface contours).
On an automated production line, when external components such as proximity sensors detect a workpiece in place, they send a high-level physical trigger signal to the controller via digital I/O ports. Upon receiving the signal, the controller precisely synchronizes the shutter speed of the strobe light source and the 2-megapixel camera to achieve seamless exposure. It then converts the acquired optical physical information into a digital image matrix and loads it into memory.
Subsequently, the onboard high-performance multi-core processor (equipped with a dedicated built-in computing acceleration unit) rapidly invokes user-preset algorithms to perform high-load parallel calculations on the pixel matrix, including grayscale comparison, edge detection, and pattern matching. This allows the system to calculate the workpiece's pass/fail status and geometric center coordinates within milliseconds.
Finally, the system sends judgment commands to the rejection device or robot control cabinet via an Ethernet bus (e.g., EtherNet/IP, Profinet, TCP/IP) or digital output pins, thus achieving fully automated closed-loop vision-based production inspection.
The CV-X320F 2-megapixel vision controller is widely used in automated production lines to automate inspection tasks that are too fast, require too high precision, or are too repetitive for manual operation. Optimized for 2-megapixel cameras and supporting Keyence's proprietary LumiTrax™ and automated teaching tools, this controller excels in applications requiring a wide field of view and high-speed processing capabilities.
