Placeholder Technical features of IPC for machine vision applications | SINSMART

Machine vision is mainly composed of industrial cameras, light sources, industrial computers and corresponding image analysis software. Machine vision integrates computer technology, image processing technology, laser technology and other technologies, uses images as the carrier of detection and information transmission, extracts useful signals from images and processes them, and obtains various measurement parameters required.

The functional application of machine vision in manufacturing is mainly reflected in four aspects: measurement, detection, identification and positioning. Through the guidance and detection of smart devices such as robots, high-precision positioning and motion control can be performed. The machine vision system based on industrial computer, through image processing and other technologies, can realize accurate and fast quality inspection, collect, identify and analyze the structural features, surface shape, wear and tear of products, and respond in real time. Bad phenomenon occurs.

At present, visual inspection technology has multiple functions such as online detection, dynamic detection, real-time analysis, and real-time control. The automation equipment integrating industrial computer and machine vision system can quickly identify the shape, position and state of the part on the measurement platform, automatically form the detection path and judge the measurement result, and can efficiently complete the part detection and avoid measurement. System and the component under test direct contact.

The machine vision system relies on the hardware support of the industrial computer to achieve zero defect in product quality. Widely used in the manufacturing industry, it has the characteristics of high precision, non-contact and high efficiency. SINSMART can provide highly integrated, high-quality, high-performance industrial computer product solutions for machine vision to meet the diverse needs of industry customers.

 

The technical characteristics of the application of industrial computers in machine vision typically include:

High processing power to handle image analysis and data processing tasks in real-time.

Reliable and rugged design for harsh industrial environments, such as resistance to shock, vibration, dust, and temperature variations.

High-speed data transfer interfaces for image acquisition, such as Gigabit Ethernet, USB3.0, or Camera Link.

Support for various image processing libraries, algorithms, and development tools, such as OpenCV, Halcon, or MATLAB.

Multiple display outputs for visualization of the processed images and data.

Compact size and low power consumption for easy integration into existing systems.

Compatibility with industry-standard protocols and technologies, such as Ethernet/IP, Profinet, or OPC-UA, to ensure seamless integration with other industrial components.

Robust software platform with real-time operating system (RTOS) support, such as VxWorks, QNX, or Linux, for stable and deterministic performance.

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