Leveraging Vendor Partnerships for ADAS Success: LeddarTech and Hailo

It’s a late summer evening, you’ve had a long day at work and all you want to do is get home and relax, but the usual horrible traffic jam is

Danya Golan , July 24, 2023

From Vision to Insights

As the camera market is booming, so does the need to empower cameras with artificial intelligence (AI). In this blog post we discuss the need for on-camera AI and how

Avi Baum , July 9, 2023

AI Object Detection on the Edge: Making the Right Choice

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

Niv Vosco , October 6, 2022

Multi-Camera Multi-Person Re-Identification with Hailo-8™ 

Multi-person re-identification across different streams is essential for security and retail applications.

Niv Vosco , August 7, 2022

AI Video Analytics: A Cost-effective Edge Device for Small Businesses – an Achievable Challenge

This blog post outlines the key challenges in meeting the requirements of small businesses for a cost-effective surveillance solution with up to 6 IP surveillance cameras

Yosi Brosh , June 16, 2022

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).

Niv Vosco , April 6, 2022

Powerful Edge AI to Boost Intelligent Traffic Monitoring

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.

Alina Sharon-Green , February 14, 2022

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.

January 12, 2022

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

Hadar Zeitlin , December 22, 2021

Intelligent Video Analytics: A New Generation of Video Analytics Enabled by Powerful Edge AI

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

Alina Sharon-Green , December 9, 2021

Play to Win: How Hailo and NXP Create Efficient Embedded AI Solutions

 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. 

Nadav Eden , November 18, 2021

Pairing Sensing with AI for Efficient ADAS

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

Yaniv Sulkes , October 27, 2021

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

Orr Danon , September 22, 2021

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

Eldad Rubinstein, Software Architecture & Product Manager, and Rotem Bar Head of Embedded Applications, at Hailo , September 1, 2021

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

Niv Vosco , August 11, 2021

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,

July 20, 2021

Smart Retail on the Edge: Why Powerful Intelligent Vision is the Future of Brick & Mortar Stores

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

Alina Sharon-Green , July 1, 2021

Mind the System Gap: System-Level Implications for High-Performance Edge AI Coprocessors

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

Noy Nakash , June 17, 2021

Evaluating Edge AI Accelerator Performance: Why TOPS Are Not Enough

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

Daniel Chibotero , June 2, 2021

Why Domain-Specific Dataflow Processing Is the Only Way Forward

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

Uri Weiser , May 19, 2021

Our 1st Hackathon: One Day to Develop a Winning AI App with the Hailo TAPPAS Toolkit

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

Gilad Nahor , May 5, 2021

Super Resolution: Using Deep Learning to Improve Image Quality and Resolution

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

Uri Almog , April 12, 2021

ADAS Anatomy: from SAE to NCAP

While my experience wandering the halls of CES 2020 more than a year ago seems as nostalgic as far more distant memories after this unusual year, I clearly remember my

Yaniv Sulkes , April 7, 2021

Don’t Make Light of Power Efficiency When It Comes to Edge AI

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

Avi Baum , March 24, 2021

How the Edge AI Box Can Accelerate Adoption of AI for Surveillance and Security

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

Alina Sharon-Green , March 10, 2021

Unlocking Edge AI: A Lot of Compute Goes a Long Way

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?”

Mark Grobman , February 15, 2021