This project uses TensorFlow Lite with Python on a Raspberry Pi to perform real-time object detection ... the USB Accelerator setup instructions. Run the object detection script using the EdgeTPU ...

TensorFlow Lite is an optimized framework for deploying lightweight ... custom TensorFlow Object Detection model, convert it into an optimized format that can be used by TensorFlow Lite, and run it on ...

If machines could recognise objects the way human beings do, it would be quite interesting. Object detection is a trending topic nowadays. So let us make an object detection camera that can do live ...

Integrating advanced object detection into your projects has become more accessible with the Raspberry Pi AI HAT and YOLO models. This guide outlines a detailed process for setting up the hardware ...

Using Python programming and a Raspberry Pi 3 Model B equipped with the Raspberry Pi Camera Module the project uses OpenCV. Classed as an advanced project on the Hackster.io website you can check ...

To determine if model performance is impacted by training models using low-quality data, a secondary image dataset named MOD-2022 was prepared for object detection and tracking ... dataset and ...

EfficientDet is a well-known model. In this study, we use the integer quantization technique to perform real-time object detection on a Raspberry Pi using the popular EfficientDet family. We use the ...

Keep in mind that the Raspberry Pi only supports Caffe models, for TensorFlow you’d need to run it on an Ubuntu machine. For the setup that allows you to easily run someone else’s NCS format object ...

Raspberry Pi has just released an AI Kit which is designed to work with the Raspberry Pi 5. Previous models of these tiny computers would have struggled to keep up with the processing power ...