Use a laptop webcam, an RP2354 and the Efinix T8 FPGA on the Forgix board to create a live USB edge-detection demonstration with no addition
Interfacing the ArduCAM Mini OV2640 with an FPGA using nothing but VHDL state machines: SCCB configuration, SPI capture, BRAM frame storage
FLIR Lepton 3.5 meets the Forgix, the Trion T8 FPGA captures VoSPI while the RP2354 streams live thermal frames over USB.
Minority Report style hand control on the Banana Pi BPI-AI2N: MediaPipe hand AI plus Onion Tau LiDAR drive a touch free spatial desktop
A PyPortal visualization that continuously scrolls aerial imagery captured along the route between any two locations (US only)
FPGA vision platform with MicroBlaze V: capture, debug, and stream MIPI camera data in real time full frames or high-speed ROI over Ethernet
Build a dual-camera video pipeline on the AUBoard using the RPi Camera FMC. Capture, process and mix two 1080p streams into one HDMI display
CCTVs just watch, this one thinks! Using AI to identify human activities that may pose security threats to vehicles!
We’ve built a high-performance HDMI 2.0 pass-through system that supports 4K at 60Hz using the AMD Artix™ UltraScale+™ FPGA on the AUBoard
Can both ML training and inference be done on MCU? This project illustrates how to implement on-device Edge AI with the XIAO ESP32S3 Sense.
Getting Started with Infinite-ISP, the open source image signal processor on Efinix Titanium Ti180 J484 Development kit.
An exploration of accelerating the MediaPipe models with MemryX's MX3 AI Accelerator.
Turn your family photos into retro 8-bit masterpieces with this Atari 2600 digital frame.
This project explores how to add support for the open-source LIBCAMERA project on our Zynq-UltraScale+ platform.
Getting a correct white balance is not an easy task. The project proposes a simple technque to validate our White Balance.
In order to add support for V3, HQ, and AI cameras on your Zynq-UltraScale+ platform, leverage Raspberry Pi's linux kernel repository.
Building a more effective fire detection machine learning model by combining image and temperature sensor data.
If you are looking to add support for RPI cameras on your Zynq-UltraScale+ platform, start with Opsero's RPI Camera reference design.
Build a machine learning model using a federated training framework to keep data on-device, train locally, and update a global model.
We will learn Vison-Language Models across tasks such as captioning, object detection, grounding, and segmentation on a Raspberry Pi.
Edge Impulse image classification on the new Raspberry Pi 5 🤔🔎🎅
In part one of a two-part project, we display thermal images on a TFT display, save them to flash, all to build an ML model w/ SMS alerts!
This guide provides detailed instructions for targeting the Xilinx Vitis-AI 2.5 flow for Avnet Vitis 2022.1 platforms.
How to implement a image processing solution on the AC701 using a MIPI Camera and FMC Interface Card.
