It's also compatible with PyTorch, ONNX, Keras, TensorFlow, TensorFlow Lite, and other frameworks. This integrates into Raspberry Pi's camera software stack for object detection and image ...

Abstract: This study introduces a new method for improving object detection using audio-visual fusion, which is implemented on a Raspberry Pi and integrates with FogBus ... with visual data obtained ...

Raspberry Pi has added two new members to its AI product family: the AI HAT+ in 13 TOPS (tera-operations per second) and 26 TOPS variants. Both feature ...

This design allows the camera to perform inferencing tasks, such as object detection and pose estimation, while capturing images or video, reducing the processing load on the Raspberry Pi’s CPU ...

Raspberry Pi and Hailo have shared a few of the demo applications that makers will be able to use with the kit. The first feature they showcased was object detection. What that means is that ...

Things need to settle down before you can design an accelerator that is meaningfully more capable than a CPU or GPU without sacrificing flexibility.” Upton shared his excitement about the future of AI ...

SunFounder PiCar-X 2.0 is an AI-powered self-driving robot car using the Raspberry Pi 3/4 as the main processing board. It is equipped with a camera module that can be moved by a 2-axis servo motor, ...

Odyssey Blue mini PC based on the ODYSSEY-X86J4125 SBC is now offered as part of a bundle with Frigate open-source NVR platform with support for real-time local object detection, and an Coral USB AI ...

Each type of Raspberry Pi was tested using three metric combinations of different encoding methods and object classification ... Method 3 - MTCNN and Tensorflow. The test results obtained Method 1: ...

Support for object detection has also been added, meaning Raspberry Pi owners can use camera data captured on their device to train their own custom object detection algorithms, instead of having ...