WPG Holdings' Quan Ding Group has introduced a machine vision AI Hub solution based on Synaptics' SL1680 embedded processor. This solution enables traditional security cameras without built-in AI capabilities to perform intelligent analysis, addressing previous limitations of high labor costs and low efficiency in manual operations.

Leveraging the powerful processing capacity of the SL1680 chip, the solution supports the collection of video data from multiple cameras via wired or wireless networks. Its high-performance NPU (delivering over 7.9 TOPS) enables the execution of various AI models for tasks such as object recognition, behavior detection, data statistics, and real-time response.

The SL1680, part of Synaptics' Astra™ SL series of AI-native SoCs, integrates a quad-core Arm Cortex-A73 CPU, a dedicated NPU, and a GPU, along with an image signal processor, 4K video codec, and audio acceleration modules. This design meets the dual demands of computational power and energy efficiency in IoT and edge devices, while its rich peripheral interfaces enhance connection flexibility.

Additionally, open-source code for the SL1680 provided on Synaptics' official website helps developers shorten development cycles and accelerate the deployment of intelligent security and industrial vision applications.