Hailo

Hailo Introduces AI-Centric Vision Processors for Next-Generation Intelligent Cameras

Posted on by Techtime

Hailo, the pioneering chipmaker of edge artificial intelligence (AI) processors, today announced its groundbreaking new Hailo-15™ family of high-performance vision processors, designed for integration directly into intelligent cameras to deliver unprecedented video processing and analytics at the edge.

With the launch of Hailo-15, the company is redefining the smart camera category by setting a new standard in computer vision and deep learning video processing, capable of delivering unprecedented AI performance in a wide range of applications for different industries.

With Hailo-15, smart city operators can more quickly detect and respond to incidents; manufacturers can increase productivity and machine uptime; retailers can protect supply chains and improve customer satisfaction; and transportation authorities can recognize everything from lost children, to accidents, to misplaced luggage.

“Hailo-15 represents a significant step forward in making AI at the edge more scalable and affordable,” stated Orr Danon, CEO of Hailo. “With this launch, we are leveraging our leadership in edge solutions, which are already deployed by hundreds of customers worldwide; the maturity of our AI technology; and our comprehensive software suite, to enable high performance AI in a camera form-factor.”

The Hailo-15 VPU family includes three variants — the Hailo-15H, Hailo-15M, and Hailo-15L — to meet the varying processing needs and price points of smart camera makers and AI application providers. Ranging from 7 TOPS (Tera Operation per Second) up to an astounding 20 TOPS, this VPU family enables over 5x higher performance than currently available solutions in the market, at a comparable price point. All Hailo-15 VPUs support multiple input streams at 4K resolution and combine a powerful CPU and DSP subsystems with Hailo’s field-proven AI core.

By introducing superior AI capabilities into the camera, Hailo is addressing the growing demand in the market for enhanced video processing and analytic capabilities at the edge. With this unparalleled AI capacity, Hailo-15-empowered cameras can carry out significantly more video analytics, running several AI tasks in parallel including faster detection at high resolution to enable identification of smaller and more distant objects with higher accuracy and less false alarms.

As an example, the Hailo-15H is capable of running the state-of-the-art object detection model YoloV5M6 with high input resolution (1280×1280) at real time sensor rate, or the industry classification model benchmark, ResNet-50, at an extraordinary 700 FPS.

With this family of high-performance AI vision processors, Hailo is also pioneering the use of vision-based transformers in cameras for real-time object detection. The added AI capacity can also be utilized for video enhancement and much better video quality in low-light environments, for video stabilization, and high dynamic range performance.

Hailo-15-empowered cameras lower the total cost of ownership in massive camera deployments by offloading cloud analytics to save video bandwidth and processing, while improving overall privacy due to data anonymization at the edge. The result is an ultra-high-quality AI-based video analytics solution that keeps people safer, while ensuring their privacy and allows organizations to operate more efficiently, at a lower cost and complexity of network infrastructure.

The Hailo-15 vision processors family, like the Hailo-8TM AI accelerator, which is already widely deployed, are engineered to consume very little power, making them suitable for every type of IP camera and enabling the design of fanless edge devices. The small power envelope means camera designers can develop lower-cost products by leaving out an active cooling component. Fanless cameras are also better suited for industrial and outdoor applications where dirt or dust can otherwise impact reliability.

“With Hailo-15, we’re offering a unique, complete and scalable suite of edge AI solutions,” Danon concluded. “With a single software stack for all our product families, camera designers, application developers, and integrators can now benefit from an easy and cost-effective deployment supporting more AI, more video analytics, higher accuracy, and faster inference time, exactly where they’re needed.”

Tattile Selects Hailo to Empower its Next-Gen Smart LPR Cameras for ITS

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The License Plate Cameras (LPC) market is expected to reach over $700 million by 2028. LPR cameras remain one of the most popular video analytics applications for smart cities as they can be easily deployed on highways, toll booths, and parking lots to enable fast vehicle identification, congestion control, automatic fare collection and more. By integrating a powerful edge AI processer, such cameras will reach new levels of effectiveness and efficiency, running ALPR in real time. This is crucial for reducing product miss-rates, decreasing detection latency, lowering overall costs, and increasing data protection.

“Hailo’s AI expertise, extensive collaboration from design to integration and top-notch solutions made them the perfect partner to help power our next-gen LPR camera line,” said Corrado Franchi, CEO at Tattile. “Hailo-8 offers market-leading performance both in terms of tera-operations per second (TOPs) and frames per second (FPS) per watt with exceptionally low power consumption. The demand for sophisticated ANPR solutions is rising, and, with the help of this integration, we are perfectly situated to drive forward a new era of mobility.”

The new Tattile camera line represents the next generation of highly scalable smart cameras. Tattile’s ITS systems go beyond pure ANPR, offering a true vehicle identification system with functions as well as levels of integration which cannot be found elsewhere on the market. The integration of the Hailo-8 will offer Tattile’s high-end Smart+ camera line enhanced performance while shortening time to market.

“We are honored to be selected by such a significant player in the ITS space as Tattile and their world-class engineers as a technology partner,” said Orr Dannon, CEO, and Co-Founder of Hailo. “This collaboration will result in better-performing cameras for a wide range of mobility use cases. We look forward to further bolstering the technologies powering the smart cities of the future.”

BW Robotics integrates Hailo chip in its AD kits 

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Blue-White Robotics (BWR) incorporated into its next generation of its agricultural autonomous driving kit, planned to launch in the coming months, Hailo’s AI microprocessor, designed to accelerate embedded AI applications on edge devices – says BWR’s CTO and co-founder Aviram Shmueli in a conversation with Techtime. BWR’s kit is designed to transform agricultural vehicles such as tractors into self-driving machines.  

“This is the first time for an accelerator microprocessor to be integrated within an agricultural tool. Integrating the AI component makes it possible for us to overcome major limitations”. Integrated in the vehicle’s main computer, combined with a CPU and a GPU, Hailo’s chip will assist in performing processing tasks related to the sensors’ data and decision making, based on BWR’s proprietary models. “We’ve developed a significant AI layer. In order to achieve the desired level of autonomy, we combine neural networks and machine-vision in a magnitude that requires high computational capability at real time”. 

Hailo have developed its neural networks Hailo-8 processor in a unique architecture which features processing power of up to 26 tera-operations per second (TOPS), with a typical power consumption of only 2.5W. The chip is capable of analyzing the particular task, mapping the required resources for each processing layer and to allocate them as necessary. This way the device accelerates the processing task and reduces power consumption.  

Shmueli: “Conventional processors produce significant amount of heat, and we need to  remember that these agricultural tools operate in relatively hot locations. Hailo’s chip features an excellent ratio of computational power per watt, which reduces the load. In order to achieve maximal computation capabilities, processing tasks are divided between the central & graphic processors and the acceleration card”.  

Blue-White Robotics was founded in 2017 by Ben Alfi, Yair Shachar and Aviram Shmueli. It has raised a total of $50 million, in a round led by Insight Partners and Entrée Capital.

Aviram Smueli

The automation kit developed by the company includes a package of LIDAR sensors, optical cameras, management software for detection and avoidance of obstacles, a pressure-sensitive front bumper to prevent vegetation damages, and it also equipped with emergency mechanisms and remote control capabilities. Using Artificial Intelligence, the tractor “learns” the land and available routs. Incorporating the kit in the tractor makes it possible for the vehicle to perform, autonomously or remotely controlled, a variety of operation such as sprays, harvesting, disking, and seeding.

Shmueli explains that autonomous field driving might be more challenging than one may  describe. “Agricultural field is constantly changing, during the day and during the year, not to mention that this is a hybrid environment alongside human beings. This is why  it is impossible to base field driving on a predetermined mapping. In addition, just like military vehicles, agricultural tools operate in harsh terrain conditions such as vibrations, high temperatures and moisture, and this is why computation units must be ruggedized”. 

Avnet’s EBV Elektronik will distribute Hailo’s AI solutions in Europe and Israel

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EBV Elektronik, an Avnet company (NASDAQ: AVT), today announced the signing of a new distribution franchise agreement for the EMEA region with Hailo, a leading edge Artificial Intelligence (AI) chipmaker.

Hailo offers a wide range of AI accelerators including the innovative Hailo-8™ AI processor and its M.2 and Mini PCIe high-performance AI acceleration modules. The Hailo-8, featuring up to 26 Tera Operations Per Second (TOPS) at a typical power consumption of 2.5 W, delivers superior edge performance with industry-leading power efficiency and enables edge devices to run sophisticated deep-learning applications at scale.

Hailo’s solutions connect to board-level platforms via the PCIe interface. This allows for high-performance and power-efficient AI solutions when used together with the Intel/AMD x86 or the Raspberry Pi Compute Module 4, as well as with ARM-based processors, such as those manufactured by NXP Semiconductors, STMicroelectronics, and Renesas. Another key product leveraging the advantages of Hailo’s AI technology is the MicroSys Electronics miriac® AIP-S32G274A embedded SoM (system-on-module), which is based on NXP processors and includes support for the Hailo-8 AI acceleration modules.

“This agreement with EBV is a major opportunity for our AI technology to gain greater penetration across Europe and beyond, in a range of markets including industry 4.0, automotive, smart retail, smart cities, and smart home applications,” said Orr Danon, CEO of Hailo

“Hailo’s technology is at the cutting edge of AI and deep learning applications,” said Susanne Betting, Senior Director Supplier Marketing at EBV Elektronik. “It is a major complement to our existing portfolio of AI solutions as a companion device for a range of microprocessors from our leading silicon suppliers and will significantly extend our options to deliver a range of world-class AI solutions to our customers.”

NEXCOM Partners with Hailo to Launch Next-Generation Vehicular Telematics Solution

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The israeli chipmaker Hailo announced its partnership with NEXCOM, the industrial computer hardware manufacturer, to launch NEXCOM’s VTC 1021, their next-generation AI vehicular telematics solution. NEXCOM’s AI solution features the compact Hailo-8 AI accelerator module, enabling high performance and empowering in-vehicle computers to run intensive AI applications more efficiently.

NEXCOM and Hailo’s joint solution facilitates operational efficiency in public transit and fleet management, including enhanced capabilities such as ADAS (Advanced Driver Assistance Systems). Hailo stated that the in-vehicle solution’s compact, fanless design fits perfectly in cabins with limited space and is designed to withstand demanding automotive conditions, helping bring public transit vehicles and fleets into the smart era. The in-vehicle computer VTC 1021 powered by the Intel Atom x5-E3940 processor is also versatile, with the flexibility to power a variety of telematics applications such as infotainment, fleet management, ANPR, and mobile video surveillance. Among the target applications for the joint solution: driver drowsiness detection, occupant monitoring, pedestrian detection warning, collision avoidance warning, and more

“The future of the automotive industry holds endless promise for safety and comfort, but to achieve this, in-vehicle compute platforms must overcome significant technological hurdles,” said Liran Bar, VP Business Development of Hailo. “Scaling AI to meet these challenges requires ultra-high performance and flexible solutions, which our joint offering provides. With NEXCOM, we will leverage the power of AI to turbocharge the aftermarket platform’s compute power, thus making vehicles safer.”

“Our partnership with Hailo allows us to offer our customers advanced AI solutions which can power sectors such as public transportation and fleet management with more scalable, better-performing solutions,” said Jay Liu, Vice President at NEXCOM. “Our joint platform provides vehicles enhanced capabilities, including state-of-the-art applications which can vastly improve the driving experience as well as safety, ushering in a new era of smart transportation.”

Hailo’s specialized Hailo-8™ AI acceleration modules deliver unprecedented performance to edge devices. The modules are built with an innovative architecture that enables edge devices to run sophisticated deep learning applications that could previously only run on the cloud. Their advanced structure translates into higher performance, lower power, and minimal latency, enabling enhanced privacy and better reliability for smart devices operating at the edge.

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NXP and Hailo Expand AI cooperation through MicroSys

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NXP Semiconductors and Hailo announced a cooperation to provide joint AI solutions for automotive Electronic Control Units (ECUs). The new solutions will combine NXP’s automotive processors S32G and Layerscape, along with Hailo-8 processor. Hailo-8 is an AI processor for edge computing with up to 26 tera-operations per second (TOPS) at a typical power consumption of 2.5 W. The solutions offer an open software ecosystem for applications and software stacks.

The first solution, powered by the Arm based NXP S32G processor combined with up to two Hailo-8™ AI processors delivering up to 52 TOPS. The second solution, powered by the Arm based NXP Layerscape platform and combined with up to 6 Hailo-8 processors, delivers a high-performance of up to 156 TOPS. “We are excited to partner with a major player like NXP to demonstrate the true potential of AI for automotive,” said Orr Danon, CEO of Hailo.

“We look forward to continuing to work with NXP to expand our edge processing solutions to a broad range of demanding applications including industrial & heavy machinery, robotics, and more.” The NXP-Hailo joint solutions are already being utilized by customers, including MOTER Technologies, which is using the Arm-based NXP S32G processor combined with a Hailo-8 M.2 AI accelerator module for Usage-Based Insurance (UBI) applications.

The evaluation boards were designed and produced by the Germany-based MicroSys, who cooperates with NXP as well as with Hailo. The miriac® AIP-S32G274A and miriac® AIP-LX2160A NXP-Hailo automotive based application-ready platforms are available from MicroSys, as well as development platforms by NXP: BlueBox 3.0 (Layerscape LX2160A and S32G and GoldBox (S32G). Both are compatible with Hailo-8™ M.2 AI Acceleration Modules.

Hailo Partners with KAGA FEI America to Support Growing Customer Base

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AI chipmaker Hailo has partnered with KAGA FEI America, Inc. (KFAI), a leading global semiconductor distributor, to promote and support Hailo’s products in North America. According to a statement by the two companies, KFAI will enable Hailo to extend its reach to more customers across the region, impacting sectors such as smart retail, smart cities, smart homes, industry 4.0, and beyond.

The Hailo-8 AI chip delivers unprecedented performance to edge devices. Featuring up to 26 Tera Operations Per Second (TOPS), the module is built with an innovative architecture that enables edge devices to run sophisticated Deep Learning applications that could previously only run on the cloud. Hailo-8’s advanced structure translates into higher performance, lower power, and minimal latency, enabling enhanced privacy and better reliability for smart devices operating at the edge.

“KAGA FEI’s logistical expertise will significantly strengthen our presence in North America, where demand for Edge AI solutions continues to rise,” said Orr Danon, CEO of Hailo. “We are confident that KAGA FEI’s distribution channels and strong relations with customers will accelerate our expansion in the region. Our unique edge processing and acceleration solutions are a gamechanger for enterprises in many industries, and KAGA FEI will help us with customers both old and new in need of robust AI solutions at the edge.”

The agreement aims to helps Hailo strengthen partnerships with existing customers in North America, while enhancing its sales channels to expand into other markets. Hailo will continue offering its product line to customers.

“We are excited to partner with a top artificial intelligence company in the edge space like Hailo, as we see huge potential for their innovative AI solutions,” said Toyohisa Hoshino, President and CEO of KFAI. “Our experience in guiding customers in new technology adoption and demand creation, coupled with Hailo’s powerful AI solutions, will bring significant value to customers across the region.”