Multi-person re-identification across different streams is essential for security and retail applications. High performance computing is required to achieve this. Hailo-8™ AI processor delivers the performance needed for accurate real-time multi-person re-identification on edge devices while enhancing video analytics and keeping costs down. In this blog post, we present an end-to-end reference pipeline to accurately perform this task - [ Ссылка ]
0:00 Intro
0:04 Multi-person re-identification across multiple streams
0:07 High performance computing on the edge
0:13 Real-time and accurate re-identification
0:22 Boosting video analytics and lowering costs
0:25 Hailo-8™ edge AI processor
0:29 Outro
About Hailo:
Hailo is a leading AI chipmaker whose mission is to enable smart edge technologies to reach their full potential. Hailo’s industry-leading Hailo-8™ edge AI processor enables datacenter-class performance on cameras and other edge devices. It features up to 26 tera-operations per second (TOPS). One small Hailo-8™ chip can process, in real-time, high-resolution videos, or multiple video streams and neural network models simultaneously. The chip has a very low power consumption, which means it needs less cooling and is more cost-effective and sustainable. We offer a range of standard form-factor modules which enable easy integration with edge devices, as well as a robust and mature software toolchain. Hailo’s novel, patented, dataflow architecture is finding various applications across several industries, including security, automotive, industry 4.0, retail, and more.
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