iRAYPLE R7200MG-00C-NGG01E Pricing & Product Details
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R7200MG-00C-NGG01E Pricing
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R7200MG-00C-NGG01E Overview
What is R7200MG-00C-NGG01E?
The iRayple R7200MG-00C-NGG01E, part of the R7000 Series, is a high-performance CMOS camera designed for industrial applications. Its standout feature lies in its high-speed capture capability, making it suitable for tasks requiring rapid image acquisition. Additionally, the camera incorporates a built-in deep learning algorithm, enhancing its efficiency in image processing tasks such as object recognition and quality inspection.
With support for software trigger, hardware trigger, and free run modes, the R7200MG-00C-NGG01E offers versatility in operation, adapting to different automation requirements seamlessly. Its GigE connectivity provides up to 1Gbps bandwidth, ensuring fast and reliable data transfer for real-time monitoring and control applications. Furthermore, the camera is equipped with abundant I/O interfaces, including RS232 and opto-isolated inputs/outputs, enhancing its integration capabilities with other industrial equipment.
The industrial M12 connector and IP67 rating of the R7200MG-00C-NGG01E ensure robustness and durability in harsh industrial environments. This rugged design, coupled with its advanced features, makes it well-suited for a wide range of applications such as quality control, robotics, and automation in industries including manufacturing, logistics, and automotive.
What applications is R7200MG-00C-NGG01E product best for?
- Manufacturing Quality Control: The iRayple R7200MG-00C-NGG01E is tailored for precise quality inspection tasks in manufacturing, ensuring product integrity and adherence to standards.
- Robotics & Automation: With its high-speed capture and versatile trigger modes, this camera is well-suited for integration into robotic systems, enabling efficient automation processes.
- Object Recognition & Control: The built-in deep learning algorithm enhances the camera's capability for object recognition, making it ideal for applications requiring precise identification and control of objects in real-time.