- AI-Based Mask and Temperature Detection -
Different Language Version: [Traditional Chinese] | [Simplified Chinese]
Use high-accuracy biometric identification algorithms to establish a contactless intelligent access control management system.
Effectively reduce manpower to control the entrances while maintaining social distancing requirements.
Use AI algorithms to accurately detect the person's mask status and to verify identity to those who are wearing masks.
Integrate the information for later big data analysis to develop customer insight for future needs.
The EDOM AI epidemic prevention solutions are based on the NVIDIA Jetson Xavier NX module, Cyberlink's highly accurate FaceMe AI engine, the Melexis thermal IR array, Framos depth camera and Innolux 11.6" TFT LCD Display NB modules. Solutions will help EDOM's customers develop high-precision body temperature detection, intelligent identification terminal products, and achieve rapid market adoption.
NVIDIA Jetson Xavier NX
Jetson Xavier NX delivers up to 21 TOPS for running modern AI workloads, consumes as little as 10 watts of power, and has a compact form factor smaller than a credit card. It can run modern neural networks in parallel and process data from multiple high-resolution sensors, opening the door for embedded and edge computing devices that demand increased performance but are constrained by size, weight, and power budgets.
Addresses growing demands seen across numerous applications for thermal analysis. This infrared (IR) sensor offers a cost-effective alternative to more expensive high-end thermal cameras. This 32x24 pixel device is suited to safety and convenience applications that include fire prevention systems, smart buildings, intelligent lighting, IP/surveillance cameras, HVAC equipment and vehicle seat occupancy detection.
FaceMe® is uniquely positioned to integrate edge-based AI biometrics recognition into a wide range of IoT and IoT solutions. Based on machine learning and deep neural network, FaceMe® has an accuracy rate (TAR, True Acceptance Rate) of 99.7% at 10-4 FAR. It ranks amongst the most precise and fastest facial recognition engines in the NIST’s Recognition Vendor Test (FRVT).
Framos IMX290 is a system on chip with the stacked structure consisting of a high-performance image sensor and image processor with high sensitivity, high dynamic range (HDR), and LFM (LED Flicker Mitigation) features.
INNOLUX N116BCA-EA1 is a 11.6” (11.6” diagonal) TFT Liquid Crystal Display NB module with LED Backlight unit and 30 pins eDP interface. This module supports 1366 x 768 HD mode and can display 262,144 colors.