Object detection is a fundamental computer vision task that classifies and localizes all the objects in an image. It is widely used in automotive, smart city, smart home, and industry
In this blog post, we present Hailo’s License Plate Recognition (LPR) implementation (also known as Automatic Number Place Recognition or ANPR).
Whether in the city or outside of it, current traffic monitoring solutions have significant challenges in dealing with increasingly common complex traffic scenarios and more robust AI functionality requirements.
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.
A good partnership is all about the added value. It highlights the strengths of each party, compensates for the weaker points and overall produces more value than what the two parties would produce individually.
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
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
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,
Intro The new generation of domain-specific AI computing architectures is booming. The need for these and the benefit they provide to end applications are apparent. However, the inherent challenges in
The recent requirement for efficient edge AI solutions across Smart City, Smart Retail, Surveillance and Automotive, has driven a boom in edge AI chips. Both established corporations and innovative startups
The End of Moore’s Law and Dennard Scaling For over 30 years, the evolution of general-purpose computing was impressive and fast-paced, doubling performance every 2 years or so. But then, some would say not
Introducing TAPPAS The MAD team is Hailo’s first and friendliest customer. We develop deep-learning based demos using the Hailo-8 AI Processor and accompanying software toolchain. Our demos encompass a variety
On Thursday, May 14, 1948, David Ben-Gurion stood in front of a national assembly and the entire world and declared the formation of the sovereign State of Israel, of which
In the last decade we have witnessed a surging demand for complex computing, more specifically for deep learning. No longer satisfied by centralized processing in datacenters, it is propelling a fast evolution of AI inference at the edge – at the nearest point of aggregation, if
Recently, Hailo unveiled its new M.2 module and published some exciting benchmarks. Looking at the impressive numbers, one naturally asks: “why would anyone need an object detector running at 1000fps?”