This session focuses on running examples that demonstrate how to access the AMD NPU using the MLIR toolchain.
Interpret motion information captured by sensors using basic machine learning models
Efficiently detect and count empty spaces in real time using YOLOv8 on Jetson Nano—optimized edge AI for smarter space management.
This blog post describes the project that detects people not wearing helmets.
Check out the new Arduino Nano RP2040 Connect that uses Raspberry Pi's custom silicon for a powerful IoT device.
PUPPI is a tiny, portable, edge ML device ready to interpret a dog's mood based on vocal signals.
Dealing with multiple designs can be cumbersome. This project describes how to combine multiple designs into a single platform.
The project is designed to utilize the Qualcomm Neural Processing SDK. The Android app performs semantic segmentation using DeepLabV3.
HoverGames autonomous drone with AI vision and Sigfox IoT link, assists fire brigades in identifying fire victims during/after dispatch.
This is a part of the multi-functional project which enables you to run our pneumonia classifier directly on your Raspberry Pi using balena.
Edge AI sounds fun... until data capture hits? We hear you! MicroPython integration with DEEPCRAFT™ Studio makes it easy like never before.
Every year 2.12 billion tons of waste is generated. Here we look at how AI can be used at the edge to combat the war on waste
An attempt to identify location just using sound, similar to how humans do it just by listening.
Detecting chair occupancy in a room with AI on-edge
Pruning the Yolov3 with Pytorch based pruning method and Quantizing/compiling the pruned model with Vitis AI for AMD-Xilinx KV260 FPGA.
Saving lives of vulnerable who are prone to accidents by sending emergency message to the best by hospital by sharing the location.
An ML based HMI system that translates your unique heat signature into seamless and intuitive gesture commands using Edge Impulse.
This compact device operates independently from a computer, allowing users to conveniently experience the fascination of machine learning.
A proof of concept to detect gunshot sound for first responders
Here we're using LM35 for sensing the temperature and then using the polynomial regression technique we are able to predict the temperature.
Train an artificial eye with Machine Learning to monitor analog knobs positions in audio consoles
This project describes how to add support for ROS2 to the Ultra96-V2.
Basic machine learning tutorial dealing with setting up an environment, and explanation of the basic linear regression model.
A device to provide data for Machine Learning.
