Hailo Introduces Hailo-15: AI-Centric Vision Processors for Next-Generation Intelligent Cameras
January 30, 2024
News
Hailo announced its new Hailo-15 family of high-performance vision processors, designed for direct integration into intelligent cameras for video processing and analytics at the edge.
The Hailo-15 VPU family includes three variants — the Hailo-15H, Hailo-15M, and Hailo-15L — providing varying processing needs and price points for smart camera makers and AI application providers. Per the company, the VPU family ranges from 7 TOPS (Tera Operation per Second) up to 20 TOPS, enabling over 5x higher performance than currently available solutions in the market. All Hailo-15 VPUs support multiple input streams at 4K resolution and combine CPU and DSP subsystems with Hailo’s AI core.
By supporting AI capabilities into cameras, Hailo is addressing the growing demand in the market for enhanced video processing and analytic capabilities at the edge. According to the company, the AI capacity helps Hailo-15-empowered cameras to carry out more video analytics, running several AI tasks in parallel including fast detection at high resolution to enable the identification of small, distant objects with high accuracy and less false alarms.
For 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.
Hailo is also pursuing 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 improved 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 camera deployments by offloading cloud analytics to save video bandwidth and processing, while improving overall privacy due to data anonymization at the edge.
The Hailo-15 vision processors family, like the Hailo-8 AI accelerator, are engineered to consume very little power, making them suitable for IP cameras 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 suitable for industrial and outdoor applications where dirt or dust can otherwise impact reliability.
For more information, visit hailo.ai.
Tiera Oliver is the assistant managing editor at Embedded Computing Design. She is responsible for web content editing, product news, and story development. She also manages, edits, and develops content for ECD podcasts, including Embedded Insiders.
She utilizes her expertise in journalism and content management to oversee editorial content, coordinate with editors, and ensure high-quality output across web, print, and multimedia platforms. She manages diverse projects, assists in the production of digital magazines, and hosts company podcasts by conducting in-depth interviews with industry leaders to deliver engaging and insightful discussions.
Tiera attended Northern Arizona University, where she received her bachelor's in journalism and political science. She was also a news reporter for the student-led newspaper, The Lumberjack.
