ADLINK Launches Industrial Grade 4-Channel PoE AI Vision System

ADLINK Technology, a leading global provider of edge computing solutions, introduces EOS-JNX, a new 4-channel GigE edge AI visual inference system based on NVIDIA® Jetson Xavier™ NX.

It features intelligent PoE (Power over Ethernet) with PoE loss detection, dedicated GigE bandwidth, and 100-metre GigE cable capture without dropped frames.

Designed for PoE-based high image quality camera applications for easy management and maintenance, the EOS-JNX series, as a compact, reliable and fully integrated vision system, is

Suitable for all edge AI applications, the EOS-JNX series enables real-time vision intelligence processing at the edge with superior hardware design and deployment-ready software tools.

ADLINK's EOS-JNX series now includes the EOS-JNX-I and EOS-JNX-G models that support Onvif and GigE protocols.

The EOS-JNX-I can be easily integrated into existing surveillance systems, and its embedded uplink port enables edge AI security features with minimal change and investment.

ADLINK is also currently working with surveillance camera manufacturers to provide AI surveillance starter kits, working to enter the smart city market.

The EOS-JNX-G's dedicated GigE bandwidth allocation feature helps AI developers quickly and easily upgrade their AOI solutions to AI-based AOI solutions that

for a variety of applications such as industrial inspection or food and beverage sorting.

In addition, the EOS-JNX has no compatibility or reliability issues, as verified by the 100-metre cable.

so AI developers can easily apply AI inference to their image sources - whether from surveillance cameras or industrial-grade GigE cameras.

Enabling customers to benefit from all types of application scenarios, such as safe communities, industrial inspection, smart retail, intelligent transport, factory logistics or delivery robots.

The proprietary ADLINK Edge Vision Analytics SDK (EVA SDK) provides five basic manufacturing scenarios and an AI software partner-friendly integration architecture.

can meet the future needs of AI vision applications covering industrial safety, food and beverage, and smart manufacturing industries.

Both AI developers and newcomers to the AI field are able to focus on applications and training and build a proof of concept in as little as two weeks.