Next-Gen AI vision system leverages new NVIDIA module for easy maintenance as an optimized development platform that simplifies AI to the edge.
ADLINK Technology Inc., a global leader in edge computing, launched the new 4-channel GigE NVIDIA® Jetson Xavier NX-based Edge AI Vision Inference System, EOS-JNX series, featuring Smart PoE (Power over Ethernet) and PoE loss detection, dedicated GigE bandwidth and 100m GigE cable non-drop frame capture, designed for PoE camera-based applications with high image quality, and offering easy management and maintenance. The EOS-JNX series is a hassle-free, compact, reliable, and fully integrated vision system for all Edge AI applications, processing real-time visual intelligence at the edge with outstanding hardware design and ready-to-deploy, EVA SDK software tools.
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The EOS-JNX series line-up now includes the EOS-JNX-I and EOS-JNX-G models supporting Onvif and GigE protocols. The EOS-JNX-I can easily be integrated into existing surveillance systems with its embedded Uplink port enabling edge AI safety capabilities with minimal change and investment. ADLINK is now also partnering with surveillance camera providers to bring AI surveillance starter kits to the smart city market segment. The EOS-JNX-G’s dedicated GigE bandwidth allocated capability can help AI developers upgrade their Automated Optical Inspection (AOI) solution into an AI based solution with minimal efforts. The EOS-JNX-G serves industry applications including industrial inspection and food and beverage classification.
Moreover, with 100m cable validation, the EOS-JNX series eliminates compatibility and reliability issues. This allows AI developers to apply AI inferencing with their image source easily, whether from surveillance cameras or industrial GigE cameras. This benefits customers in many different applications, such as safe communities, industrial inspection, smart retail, smart traffic, factory logistics, or delivery robots.
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The exclusive ADLINK Edge Vision Analytics SDK (EVA SDK) offers five essential manufacturing scenarios and AI software partner-friendly integration architecture for future-proof AI-based vision applications across industrial safety, food and beverage, and smart manufacturing industries, to name a few. AI developers, even newcomers to AI, can focus on applications and training, and build a proof-ofconcept (PoC) in as little as two weeks.
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