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.
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
Intelligent Video Analytics (IVA) have penetrated many applications across industry verticals. Starting from on-premises server-based capabilities, then becoming available on the cloud (relying on high-bandwidth connectivity) and, more recently, on
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.
Sensor and sensing capabilities are common and expanding in modern vehicles. One of the major motivators for this is safety or, more specifically, Euro NCAP Vision Zero guidelines. These are
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
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,
Brick-and-mortar retail has been facing tough competition from eCommerce, with the COVID-19 tailwind reinforcing the growing transition from brick-and-mortar to eCommerce. Smart Retail technologies are helping physical stores compete against
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
Working “in AI”, having this amazing technology at your fingertips and spending your days discussing customer requirements and use cases across verticals and geographies, can skew one’s perception of how
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?”
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