Category: AI

UnitV2 is a high-efficiency AI Camera module, the first M5Stack product that runs on the Linux operating system. The standalone device adopts SigmaStar SSD202D (ARM Cortex-A7 dual-core 1.2GHz) as the core, embedded 128MB DDR3 memory, with 512MB NAND Flash, 1080P camera, 2.4G Wi-Fi and...

If you are working on edge-AI devices then you would’ve considered buying NVIDIA Jetson Xavier NX, which is a best-in-class deep learning-accelerating module claimed to be the world's smallest supercomputer that was released last year. With the increasing implementation of AI-edge...

While voice/speech-controlled embedded devices and systems are more popular thanks to the success of devices like the Amazon Alexa, their design is still quite a hassle due to the complexity of the engineering and algorithms involved. Since Alexa Skills became a thing, and Amazon opened...

Embedded MXM graphics modules based on Turing architecture for edge AI ADLINK Technology Inc. a global leader in edge computing, today introduced the industry’s first embedded MXM-based graphics modules based on NVIDIA’s Turing architecture, to accelerate edge AI inference in...

VisionAI is an embedded solution for image processing with which applications from the fields of AI, Deep Learning and Machine Learning can be easily realised. With its integrated Google Edge TPU, the real-time inference system supports the frameworks TensorFlow Lite and AutoML Vision...

AAEON, an industry leader in embedded AI edge computing systems, announces a lineup of platforms currently under development powered by the newly released NVIDIA® Jetson™ TX2 NX system on module (SOM). This range of systems, named the BOXER-823x Series, will augment AAEON’s...

MAX78000 - Ultra-low-power Arm Cortex-M4 processor with FPU-based microcontroller with Convolutional Neural Network Accelerator. The MAX78000 is is an advanced system-on-chip built to enable neural networks to execute at ultra-low power and live at the edge of the IoT. This product...

Detection through cameras and lidar could be efficient but it has some drawbacks. As it requires visibility of the object within its range, thus detection is difficult for invisible and hidden objects. Radar could be an ideal choice for overcoming these drawbacks but it struggles with...