WAVESHARE 80x62 Pixel Non-Contact Infrared Thermal Imaging Sensor With Motion Detection 1. Power supply voltage: 3.3V5V 2. Operating current: 20mA@5V 3. Wavelength range: 8μm ~ 14μm 4. Refresh rate: 25 FPS (Max) 5. Field of view: standard version 55 degrees (D) x 44 degrees (H) x 35 degrees (V); Wide-angle version 143 degrees (D) x 90 degrees (H) x 66 degrees (V) 6. Noise equivalent temperature difference: 150mK 7. Can be connected to development boards such as Raspberry Pi via SPI and I2C. 8. This module combines the advantages of microbolometer and thermopile pixel technology, achieving simultaneous optimization of accuracy and reliability. 9. Product dimensions: 45x22mm 10. This product is a far-infrared thermal imaging sensor, using a hybrid technology of microbolometer and thermopile pixels, with an 80×62 pixel focal plane array. It breaks the limitations of traditional temperature measurement devices' "single-point detection" and "dependence on lighting," providing devices in industrial, consumer electronics, security, and medical fields with the core ability to "see temperature distribution," serving as the hardware support for intelligent temperature monitoring and risk early warning. Main applications: 1. Long-term non-contact object temperature online monitoring solutions 2. Infrared thermal imager, infrared thermometer 3. Smart home, smart building, smart lighting 4. Infant and elderly care 5. Fever detection 6. Industrial temperature control, security, intrusionmotion detection 7. Small target thermal analysis, key points and solutions for thermal trend analysis Main functional features: 1. Uses microbolometer and thermopile hybrid technology, with 80 (H) × 62 (V) pixels 2. Shutterless design, supports continuous operation and thermal image video streaming 3. Each pixel is factory calibrated to ensure uniformity and accuracy of temperature readings 4. Features a Noise Equivalent Temperature Difference (NETD) of 150mK RMS @ 1Hz refresh rate, resulting in excellent noise performance. 5. Supports thermal imaging video stream output at a frame rate of up to 25 FPS (Max). 6. Multiple lenses available with different fields of view. 7. Provides comprehensive supporting documentation and manuals (including Raspberry Pi and Python example programs).