ADLINK Technology leads edge computing, the catalyst for a world powered by artificial intelligence. Our AI machine vision solutions enable worker safety, automated optical inspection (AOI), quality inspection and vision guided robotics within manufacturing, logistics, industrial automation, reducing maintenance costs and increasing productivity.
ADLINK's NEON-2000-JNX Series of NVIDIA Jetson-based industrial AI cameras integrate the Jetson Xavier NX, an image sensor, an optimized OS, and broad I/O for vision applications...
Key Features● Deep learning acceleration with NVIDIA Jetson AGX Xavier● Compact system 150(W) x 145(D) x 85(H) mm● 3x USB 3.1 Gen1 lockable type, 2 GLAN, 1 Type C USB 3.1 OTG●...
ADLINK’s Edge Server implements edge federated learning, disrupting the traditional centralized ML training model and solving privacy issues for personal information for application...
Driving AI at the edge and supporting multiple 4K displays with superb power efficiencySummary:The ADLINK’s new module is of SMARC 2.1 specification, short size, based on the ...
Based on the Intel® vRAN Dedicated Accelerator ACC100 eASIC chip, PCIe-ACC100 provides FEC acceleration for 5G Open RAN and 5G private network applicationsSummary:Pre-validated...
A unique COM HPC reference system that meets developer needs across several markets: cloud, software development, 5G, and embeddedSummary:ADLINK COM HPC Ampere Altra Developer...
The Qualcomm QRB5165 processor, customized for robotics applications, is architected for running complex AI, deep learning workloads, and on-device edge inference efficiently ...
The C-V2X solution is expected to improve road safety and traffic efficiency, establishing a solid foundation to help accelerate technology innovation and commercialization of...
For the seventh straight year, Vision Systems Design held its Innovators Awards program, which celebrates the disparate and innovative technologies, products, and systems found...
The IoT embedded vision market will continue to grow. It is an easy technology to deploy, and it is very complementary to existing vision technologies like deep learning and AI...