Battery Optimized People Counting Using FIR and AI
Explore a comprehensive talk on battery-optimized people counting using Far Infrared (FIR) and Artificial Intelligence (AI). Delve into the product genesis, power efficiency considerations, challenges, and limitations faced in developing this technology. Learn about AI implementation, including picture acquisition, attributing, training, and testing processes. Discover the intricacies of quality assurance in this innovative approach to people counting. Gain insights into topics such as thermal camera usage, footfall processing pipelines, mesh connections, neural network quantization, and performance comparisons. Understand the importance of calibration, network accuracy, firmware updates, and privacy considerations in implementing this technology. Examine the use of passive infrared sensors, patent applications, and uncertainty evaluation in the context of FIR and AI-based people counting systems.