Search Results for : vision AI

SMART Wireless Computing, Inc., an SGH company and leading provider of edge computing embedded solutions, today announced the Inforce 68A1 system-on-module (SoM), a powerful new tool based on one of the latest and most advanced IoT solutions from Qualcomm Technologies, Inc., the...

After the former release of NXP i.MX 8M based MYC-JX8MX and i.MX 8M Mini based MYC-C8MMX System-on-Modules, MYIR has launched another advanced SoM MYC-JX8MPQ based on quad Arm Cortex-A53/M7 i.MX 8M Plus processor which is NXP’s first i.MX processor with a built-in 2.3 TOPS Neural...

The new SnapEDA Chrome extension notifies electronics designers when computer-aided design (CAD) models are available and allows for one-click import into desktop CAD tools. Today, SnapEDA, the first search engine for electronics design is launching a new Chrome extension to allow...

MicroSys Electronics, a world leader in embedded systems, has gone into partnership with Leading AI chipmaker, Hailo, to launch a scalable embedded platform for AI processing at the edge. The company released a miriac® AIP-LX2160A dev kit with up to 5x integrated Hailo-8™ AI...

This is an easy and simple hardware to create a POV display. The hardware consists of a Hall sensor, Arduino Nano, 17 x 5mm LEDS of various colors, etc. The Hall Sensor is connected to analog pin A5 with a pull-up resistor. The circuit works with 3.7V to 5V DC and a 3.7V battery is...

The circuit presented here is a high frequency differential line receiver amplifier which has excellent common-mode rejection at its inputs. The project is an ideal solution for a receiver for composite video signals that are transmitted over long distance on twisted-pair cables like...

The PICO-TGU4 brings the power of 11th Generation Intel® Core™ U processors and combines it with the expandability and flexibility to deploy the next generation of AI Edge Computing applications. AAEON, an industry leader in AI Edge Computing solutions, announces the PICO-TGU4...

The conventional style of using network connectivity in bringing artificial intelligence models to improve performance and efficiency needs some modification to meet the demands from the embedded systems to the automobile industry. Before directly jumping to the role of AI inference at...