2025-11-13
In the machine vision system, the industrial pc plays the role of "brain". Improper selection can lead to processing jams, system crashes, affecting the efficiency of the entire production line. In this article, we will sort out the core selection points for you.
First, the core selection elements
1. Computing performance: matching visual arithmetic
CPU: Intel Core i5 is optional for simple positioning and reading tasks (such as OCR and 1D code); Intel Core i7/i9 or higher is recommended for complex detection tasks (such as deep learning and precision measurement).
Memory: 16GB is the starting configuration. If using high-resolution cameras, multi-camera systems or deep learning, 32GB or more is recommended.
2. Environmental adaptability: guarantee stable operation
Protection level:
IP20: Suitable for clean environments installed in electrical control cabinets.
IP65/67: can be directly used in processing workshop, food and beverage industry and other environments where dust, humidity or cleaning is present.
Operating Temperature: It is important to ensure that the ICPC is adapted to the ambient temperature of the site, industrial grade products usually support a wide temperature range of -20°C to 70°C.
Vibration and shock: the production line environment must be characterized to ensure that the equipment in the continuous vibration of stable work.
3. Interfaces and Expandability: Connecting Everything You Need
Data interfaces: Depending on the type of camera interface, make sure the ICPC provides a sufficient number of GigE Vision, USB3.0 Vision or CoaXPress ports.
Expansion slots: PCIe slots provide the flexibility to add image capture cards, GPU acceleration cards or more network ports in the future.
4. Storage and Reliability
Preferred SSD: SSDs are fast, vibration-resistant, and ideal for machine vision systems, greatly improving system response and data read/write speeds.
Second, the practice guide: four steps to lock the best choice
1. Define the needs: What is my vision task? (detection, measurement, identification?) With how many cameras? What is the environment?
2. Evaluate the performance: According to the task complexity and the amount of camera data, determine the requirements for the CPU and memory.
3. Match the environment: Determine the level of protection and ruggedness based on dust, temperature, and vibration at the installation location.
4. Choose a partner: Select a supplier like SMATIPC with rich industry experience and reliable products for long-term stable support.
Accurate selection is the cornerstone of a successful project. A matched SMATIPC industrial pc can provide a stable and efficient computing platform for your vision system.
