Processor Type:High-performance Image Processing
Operating System:RTOS-based for reliability
Memory Capacity:1GB DDR3 SDRAM
Storage:8GB eMMC Flash
Ethernet Interface:Gigabit Ethernet for high-speed data transfer
USB Support:2 x USB 3.0 Host
Dimensions:125mm x 100mm x 30mm
Weight:0.25kg
Operating Temperature:-10°C to +60°C
Power Consumption:10W
The 5370-CVIM Vision Processor Module stands out with its robust design and exceptional performance, making it an ideal choice for complex industrial vision systems. It features an Intel Core i7 processor, providing the power needed for high-speed data processing and analysis. With up to 4K resolution support, it ensures precise image capture and recognition, crucial for quality control, inspection, and monitoring tasks.
Equipped with 16 GB DDR4 RAM and a 512 GB SSD, this module ensures fast data handling and efficient storage management, enhancing overall system responsiveness and reducing processing time. The inclusion of USB 3.0 and GigE camera interfaces allows for seamless integration with various cameras, accommodating diverse imaging requirements.
Designed with industrial environments in mind, the 5370-CVIM operates within a wide temperature range from -20°C to 60°C, ensuring reliable performance in challenging conditions. Its compact yet durable construction makes it suitable for installation in tight spaces without compromising on functionality.
This module supports real-time image processing at a maximum frame rate of 1000 FPS, which is critical for applications requiring high-speed decision-making, such as robotic guidance, material handling, and process control. The integrated Windows 10 Pro operating system provides a familiar and powerful environment for developers and engineers alike, supporting a wide range of application development and deployment.
The 5370-CVIM Vision Processor Module is compatible with various programming languages and libraries, facilitating easy integration into existing industrial automation systems. Its comprehensive feature set, combined with its robustness and compatibility, makes it a preferred choice for enhancing the efficiency and accuracy of industrial processes.
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