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ADLINK Launches the NEON-1000-MDX Smart Camera, Automates Existing Tasks with Just One Installation
ADLINK combines its AI SW with Intel VPU
Launch of the NEON-1000-MDX smart camera series
ML and inference at the edge... getting more accurate the more you use it.
Machine vision is one of the most cost-effective solutions for automating existing logistics and manufacturing environments, as it requires only a smart camera.
On the 17th, ADLINK launched the 'NEON-1000-MDX' smart camera series that combines the Intel® Movidius™ Miryad™ X VPU and the ADLINK Edge™ Smart Pallet SW.

The NEON-1000-MDX smart camera enables machine vision experts and developers to quickly build, validate, and deploy machine learning models. Additionally, it provides IoT solution teams and system integrators with tools to connect, stream, and automate machine vision tasks.
Users can build optimized neural networks with OpenVINO without any separate coding or integration, using a variety of ready-to-use plugins tailored to their environment and system requirements, provided by the pre-installed EVA (Edge Vision Analytics) SDK.
The NEON-1000-MDX smart camera performs product classification and defect detection functions with the built-in smart pallet software, and enables machine learning and inference at the edge based on the performance of the Movidius Myriad X VPU. Therefore, classification and detection accuracy improves with use, and automated workflows can be created.
Launch of the NEON-1000-MDX smart camera series
ML and inference at the edge... getting more accurate the more you use it.
Machine vision is one of the most cost-effective solutions for automating existing logistics and manufacturing environments, as it requires only a smart camera.
On the 17th, ADLINK launched the 'NEON-1000-MDX' smart camera series that combines the Intel® Movidius™ Miryad™ X VPU and the ADLINK Edge™ Smart Pallet SW.

▲ NEON-1000-MDX Smart Camera Series [Photo = ADLINK]
The NEON-1000-MDX smart camera enables machine vision experts and developers to quickly build, validate, and deploy machine learning models. Additionally, it provides IoT solution teams and system integrators with tools to connect, stream, and automate machine vision tasks.
Users can build optimized neural networks with OpenVINO without any separate coding or integration, using a variety of ready-to-use plugins tailored to their environment and system requirements, provided by the pre-installed EVA (Edge Vision Analytics) SDK.
The NEON-1000-MDX smart camera performs product classification and defect detection functions with the built-in smart pallet software, and enables machine learning and inference at the edge based on the performance of the Movidius Myriad X VPU. Therefore, classification and detection accuracy improves with use, and automated workflows can be created.
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