Compact NEON-2000-JNX series AI smart camera powered by NVIDIA Jetson platform eases deployment of edge AI vision and AIoT applications
Summary:
● AI smart camera integrates NVIDIA® Jetson Xavier™ NX system on module (SOM) into all-in-one compact device for industrial AI inference
● Highly integrated format and simple cabling deliver high performance, small size and low bandwidth requirements to simplify use of AI in edge applications
● Pre-installed development environment provides an intuitive GUI and rich plug-in options to speed proof-of-concept and reduce time to market
The NVIDIA Jetson Xavier NX provides more than 10X the performance of its widely adopted predecessor, NVIDIA® Jetson™ TX2. The NEON-2000-JNX series integrates this performance in an all-in-one rugged and compact device, designed to simplify the deployment process and speed up the time to market.
The NEON-2000-JNX Series comes with all necessary components and an optimized OS already integrated and well validated.
● Supports six sensor configurations in total between 1.2M-8M to deliver raw data and complete image detail for machine vision, including four image sensors with Basler
● Two new MIPI image sensors reduce CPU loading and support a higher operating temperature range
● An embedded Image signal Processor (ISP) provides enhanced and environment-adaptive imaging to improve AI accuracy
● Integration overcomes EMC/EDS/vibration/thermal problems, interface compatibility, image drops caused by fault camera and OS settings, and other common reliability issues
The NEON-2000-JNX series AI smart camera is pre-installed with ADLINK’s new edge vision analytics software, EVA SDK (Edge Vision Analytics Software Development Kit), creating an optimized platform that reduces proof-of-concept (PoC) schedules and speeds time to market.
● Wide selection of field-ready application plug-ins and ADLINK-optimized AI models guarantee AI vision quality and simplify building AI vision applications with limited coding required
● Pre-view function makes the verification of AI Inference flow and results quick and intuitive
● AI developers, even newcomers to AI, can focus on the application and training and build a proof of concept in as few as two weeks
Taipei, Taiwan – May 13, 2021