These processors have been designed for integration directly into intelligent cameras to deliver significantly improved levels of video processing and analytics at the edge.
The company said that the processor would help to redefine 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 from smart cities to retailing and transportation.
“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 – which are intended 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 a 20 TOPS, this VPU family enables over 5x higher performance than currently available solutions in the market, according to the company. All Hailo-15 VPUs support multiple input streams at 4K resolution and combine a powerful CPU and DSP subsystems with Hailo’s AI core.
The introduction of enhanced AI capabilities into the camera, means that Hailo is able to address the growing market demand for enhanced video processing and analytic capabilities at the edge. With its 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.
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 utilised for video enhancement and much better video quality in low-light environments, for video stabilisation, and high dynamic range performance.
Hailo-15-empowered cameras will help to 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 anonymisation at the edge.
The Hailo-15 vision processors family, like the Hailo-8 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.
