RK3576 + Hailo-8: 12x AI Performance Boost
Seeed Studio integrated a Hailo-8 M.2 AI accelerator with the reComputer RK3576, boosting YOLOv11n inference from 2.3 FPS to 28.1 FPS—a 12x performance increase—enabling real-time edge video analysis …
Seeed Studio integrated a Hailo-8 M.2 AI accelerator with the reComputer RK3576, boosting YOLOv11n inference from 2.3 FPS to 28.1 FPS—a 12x performance increase—enabling real-time edge video analysis …
MemryX's MX3 edge AI accelerator achieved 1796 FPS on ResNet-50 at 14 TFLOPS, exceeding the company's published benchmark of 1778 FPS by 1% in independent testing. The measurement follows a standardiz…
NVIDIA Isaac Lab now supports training reinforcement learning policies for the AgileX Dual-Arm Nero Manipulator, extending the SO-ARM101 implementation. The open-source project provides robot configur…
A developer is building a 3-degree-of-freedom robotic arm using a BeagleY-AI single-board computer and a Pololu 18-channel Maestro servo controller, with AI-generated Python code. The project currentl…
A security service blocked access to a mini-figurine cataloger and listing tracker website after detecting a potential online attack. The site owner can be contacted for assistance, with users asked t…
DeepX's M1 edge AI accelerator achieves 1,067 FPS on ResNet-50 with a power efficiency of 515.02 FPS/W, as measured by independent benchmarking using the DX-ALL suite. The results confirm the manufact…
A developer created a Docker Compose stack that turns a Rockchip RK3576 board into a fully local voice backend for Home Assistant, using openWakeWord, Whisper, Piper, and a local LLM. The setup keeps …
Seeed Studio's reCamera Gimbal has been upgraded with an AI agent that understands natural language, controls hardware, generates code, and plans multi-step tasks, transforming the passive camera into…
A developer built a fully offline voice assistant on a Raspberry Pi 4 or 5 using local AI models. The device records audio, processes it with Whisper for speech-to-text, runs a local language model vi…
A developer implemented real-time LiDAR room detection on an Arduino UNO Q using Edge Impulse, achieving high-accuracy environment classification without SLAM or computer vision. The system uses a 2D …
A new project demonstrates streaming AI-annotated video from Seeed Studio's reCamera edge device to any browser via WebRTC, using on-device YOLO11n object detection, RTSP video output, and MQTT for de…
A developer built the AI Newscaster, a zero-dependency desktop device using an Arduino UNO Q that uses edge computer vision to verify a user's presence and then fetches a personalized news briefing vi…
The Orange Pi 6 single-board computer features a 12-core CIX CD8180 processor, up to 24GB of RAM, and 45 TOPS of AI compute power, including a 28.8 TOPS NPU. It supports 8K video decoding, dual 2.5GbE…
A new paper-thin, flexible AI sticker sensor node called Ghost Edge has been developed, built around the Nordic Semiconductor nRF54L15 wireless SoC. The device uses a flexible printed circuit board to…
Hailo and ElmorLabs power measurement solutions were replicated using a custom INA228 circuit from Adafruit components, enabling edge AI power benchmarking. The setup combines an FT232H USB-to-I2C boa…
ElmorLabs offers a cost-effective power measurement solution for Edge AI accelerators using PCIe power insertion modules, tested with M.2 adapters. The setup involves connecting the PMD2 between the P…
Arduino has introduced support for running local Vision Language Models (VLMs) on the Arduino UNO Q board via the new App Lab software, enabling developers to deploy generative AI on low-power devices…
A developer built a custom animation tool for the Open Duck Mini robot, pairing it with the Gemini Live API to enable human-robot interaction through gestures like nodding and shaking its head. The pr…
A developer created Cardminton, a badminton game for the M5Stack Cardputer that uses its built-in gyroscope and accelerometer to detect swings, smashes, and drops. The game runs entirely on the device…
A new smart device called AntiMould Shower Sentinel uses machine learning on an Arduino Q to detect shower sounds and check if an extractor fan is running, sending real-time alerts via Home Assistant …