NEON AI Smart Camera
Start Your Journey in AI Vision Development!
Simplified System Integration
Typical AI vision systems with a MIPI sensor and TX2 box can be complex, bulky, and a big hassle with all the cabling, compatibility, and reliability issues involved. NEON smart cameras combine everything you need into an all-in-one hardware solution with an optimized, pre-installed software environment to improve compatibility, speed up installation, and minimize maintenance issues.
- Complete AI Detection Application at Affordable Price
- Integration Hours, Not DaysWorry-Free
- Edge AI Vision SDK 2 Weeks to PoCExclusive
Worry-Free Reliability
NEON AI smart cameras address many issues common in AI vision systems, including EMC, ESD, I/O compatibility, thermal problems, physical vibration, image dropping, and space constraints. Compared to other AI vision solutions on the market, NEON AI smart cameras are more reliable and provide superior performance. The compact, ready-to-use design of NEON cameras allows AI developers to avoid common hassles and expedite the time to market.
*Comprehensive thermal tests using the YOLOv3 algorithm with different Jetson TX2 operating modes
Optimized for AI Vision
NEON AI smart cameras support four types of Basler image sensors, providing superior image quality and wide coverage for various AI vision applications. The FPGA-based digital I/O design supports accurate HW triggering, and the USB Type-C hub reduces cabling, making NEON AI smart cameras ideally suited for machine vision applications in automated manufacturing.
Fast Deployment with Built-in EVA SDK
NEON AI smart cameras support EVA, ADLINK’s edge vision analytics software, which serves as a unified platform for streamlining AI vision project deployment in a heterogeneous edge computing environment. With the built-in EVA SDK, you could speed up your AI vision application easier and faster.
- User-friendly interface that guides users to retrieve AI vision analytics results step-by-step
- 10+ camera protocols supported
- Ready-to-use plugins validated
- Supports TensorRT and OpenVINOTM AI inference engines
- Build the PoC project in two weeks