ByteSnap unveils AI Gesture recognition technology at EDS

Interactive Machine Learning Demo

ByteSnap paraded its image recognition capabilities with the Digi ConnectCore 8x. The interactive gesture recognition program features a Convolutional Neural Network (CNN) classifier, applied to Computer Vision. Visitors to ByteSnap’s stand can experience ByteSnap’s Machine Learning demonstration, which will be based around an interactive pirate game, with body gestures processed using a regular USB camera as input.

Debug Forensics: using the CSI approach to troubleshooting

Dunstan Power, director at ByteSnap Design presented in a session in a conference on debug forensics: Using the CSI approach to troubleshooting your product design. 

For those trying to break into the dynamic electric vehicle infrastructure market, ByteSnap has now expanded its engineering services into a new division, Versinetic, offering modular EV charging design solutions and consultancy.  Learn more about load balancing with LinkRay and solar integration for EV charging.

ByteSnap also showcased a 1.8 metre-tall traffic sign, which will be running on ByteSnap’s flexible OpenGL framework, SnapUI. That demonstration drives the sign’s bank of 160×64 LEDs – highlighting how SnapUI can be used for prototyping and production and showing SnapUI’s ease of use on challenging output devices.

The newest iteration of SnapUI is optimised for 4k displays and now runs on the i.MX8. SnapUI is also available on the Windows, Linux, MAC OS, Raspberry Pi and QNX platforms. All framework graphics elements are accelerated to prioritise efficiency; performance when running the demo at a blistering 60 fps is just 20% CPU load.

Visitors to the stand interacted with ByteSnap’s consultants for product development expertise from multiple projects – most recently including:

• Windows to Linux migration for embedded electronics devices
• IoT device development
• Logistics tracking
• Smart city design
• Detection software in the fight against human trafficking
• EV smart charging design