DIY Thermal Fever Detector with MLX90640 & OpenCV on Raspberry Pi
𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗗𝗲𝘀𝗰𝗿𝗶𝗽𝘁𝗶𝗼𝗻:
In this project, we will build a Thermal Fever Detector with MLX90640 32X24 Thermal Image Array IR Camera using the OpenCV Python Code on the Raspberry Pi System. In a previous project, we build a DIY Thermal Imaging Camera using the MLX90640 & Raspberry Pi 4. Later we realized, we could build a fever detection system as well.
The project uses MLX90640 Thermal Camera to detect and visualize thermal hotspots that exceed a specified temperature threshold, suggesting a fever. The Raspberry Pi processes the thermal image data using OpenCV, and applies a color map for visualization. Then it continuously monitors and displays the highest temperatures and conditions (“Normal” or “Fever Detected“) in a graphical user interface.
During the time of COVID, Thermal Cameras were used for Fever Detection & Identifying possible COVID patients. When Raspberry Pi & OpenCV are integrated into a fever detection system, the MLX90640 can scan multiple individuals simultaneously from a safe distance, identifying those with elevated body temperatures that may indicate a fever. This application is particularly useful in public spaces such as airports, hospitals, and schools, where rapid, mass screening is essential for health monitoring and disease prevention.
𝗦𝗼𝘂𝗿𝗰𝗲 𝗖𝗼𝗱𝗲 & 𝗪𝗿𝗶𝘁𝘁𝗲𝗻 𝗧𝘂𝘁𝗼𝗿𝗶𝗮𝗹: https://how2electronics.com/thermal-f...
....................................................................................................................................................................................................................................
Drop a like if you liked this video.
Don't forget to subscribe to our channel for more Electronics projects and tutorials.
Website: https://how2electronics.com
Facebook: / howtoelectronicsfb
Instagram: / howtoelectronics
Twitter: / how2electronics
Watch video DIY Thermal Fever Detector with MLX90640 & OpenCV on Raspberry Pi online without registration, duration hours minute second in high quality. This video was added by user How To Electronics 14 May 2024, don't forget to share it with your friends and acquaintances, it has been viewed on our site 15,765 once and liked it 133 people.