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Mainboard

Hardware Design

Circuit Design

  • Proficient in designing interfaces for infrared detectors, accurately matching different types such as vanadium oxide and polysilicon detectors to ensure stable signal transmission.
  • Expert in designing signal amplification and filtering circuits to enhance weak signals and eliminate noise interference.
  • Specialized in power management circuit design to achieve efficient and stable power supply while reducing power consumption.

Component Selection

  • Based on in-depth knowledge of electronic component performance, scientifically select components according to motherboard performance indicators and application scenarios.
  • For example, high-sensitivity and high-resolution infrared detectors are chosen to accurately capture subtle temperature changes in target objects; high-performance processors are selected to ensure fast data processing, improving image refresh rate and temperature measurement accuracy.

Structural Design

  • Conduct reasonable structural design considering the integration requirements of motherboards in different devices, focusing on miniaturization and lightweight to adapt to application scenarios with strict volume and weight requirements, such as drones and handheld devices.
  • Strengthen thermal design by using efficient heat dissipation materials and structures to ensure stable temperature and consistent performance during long-term operation.

Software Development

Driver Development

  • Develop driver programs compatible with multiple operating systems (e.g., Windows, Linux, Android) to ensure compatibility and stability between motherboards and devices with different systems.
  • Optimize driver programs to improve data transmission rates, enabling fast and stable infrared image transmission to meet the real-time requirements of high-demand applications.

Algorithm Implementation

  • Master non-uniformity correction algorithms to eliminate fixed pattern noise in infrared images, making them clearer and more uniform.
  • Apply image enhancement algorithms to improve image contrast, sharpness, and detail representation for easier observation and analysis.
  • Develop target detection and recognition algorithms to automatically identify and mark objects of interest, improving detection efficiency and accuracy.