Automatic License Plate Recognition with Hailo-8™
In this blog post, we present Hailo’s License Plate Recognition (LPR) implementation (also known as Automatic Number Place Recognition or ANPR).
How Software Can Streamline Edge AI Developer Experience
When looking at the challenges facing mass AI adoption, infrastructure and integration are among their most important aspects. They were among the top limiting factors in a 2020 O’Rielly survey.
5 Questions on the Edge (AI) with Hailo CBO Hadar Zeitlin
It is very exciting to see the increasing adoption of AI in edge applications in recent years and how the ecosystem is being built to further benefit from AI capabilities
5 Questions on the Edge (AI) with Hailo CEO Orr Danon
Where do you see high-performance Edge AI making the most impact? Automotive autonomy and driver assistance (ADAS) immediately comes to mind. To make the roads safer we increasingly let technology
Customer Case Study: Developing a High-Performance Application on an Embedded Edge AI Device
One of the challenges in building embedded AI applications is taking it from machine learning research environment all the way to a full application deployed on an embedded host in
Edge ML Deep Dive: Why You Should Use Tiles in Squeeze-and-Excite Operations
This blog post presents the Tiled Squeeze-and-Excite (TSE) – a method designed to improve the deployment efficiency of the Squeeze-and-Excite (SE) operator to dataflow architecture AI accelerators like the Hailo-8
How an Open Model Zoo Can Boost Your Edge AI System Development
Edge AI system development has been propelled forward by the exciting emergence of new purpose-built processing architectures that empower us to do so much more on the edge. An important,
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