Your smart thermostat senses a temperature drop before you notice. Your camera recognizes a familiar face the second it appears. And none of it goes through the cloud. That’s the power of Edge AI with TensorFlow, where machine learning runs locally on IoT devices, making them faster, more private, and incredibly efficient.
In this blog, we’ll explore how TensorFlow Lite models are optimized for edge hardware, the challenges of deploying lightweight AI models on embedded systems, and the benefits of real-time AI inference at the edge for smart devices.
Continue reading “Edge AI: Running TensorFlow Models on IoT Devices”