Press release
Lumentum and Ambarella Offer Unique Combination of Edge AI and Privacy for Smarter Building Automation and Occupancy Sensor Systems
Joint Reference Design Enables New Paradigm in Distributed Building Intelligence, Adding Scalable AI Smarts to Sensor Nodes While Providing Occupant Privacy
About this update from Lumentum Holdings Inc.
[{"type":"text","content":"Joint Reference Design Enables New Paradigm in Distributed Building Intelligence, Adding Scalable AI Smarts to Sensor Nodes While Providing Occupant Privacy\nSAN JOSE, Calif., and SANTA CLARA, Calif., April 05, 2022 (GLOBE NEWSWIRE) -- Lumentum Holdings Inc. (\"Lumentum\") (NASDAQ: LITE), a market-leading designer and manufacturer of innovative optical and photonic products, and Ambarella, Inc. (NASDAQ: AMBA), an edge AI semiconductor and software company, today announced a new joint reference design that uniquely combines edge artificial intelligence (AI) with privacy, enabling new possibilities for smart building applications. Called Vision-D, this groundbreaking design combines Lumentum’s flood illuminator module for extremely accurate time-of-flight (ToF) 3D sensing, with Ambarella’s CV22 edge AI SoC, which provides industry-leading AI performance per watt. This combination allows small AIoT sensors with local processing to be blanketed across buildings for applications such as occupancy monitoring, intelligent space management and smart retail. Additionally, ToF 3D sensing maintains privacy by generating a point cloud with granular 3D information, but without any personally identifiable information, for applications such as healthcare and eldercare. According to MarketsandMarkets™, the occupancy sensor market is projected to grow from $1.9 billion USD in 2020 to $3.6 billion USD by 2025, at a CAGR of 13.3% during the forecast period. The vast majority of these systems are based on passive infrared sensors (PIRs) that provide only basic information about occupants and the building environment, while a small number are using cameras that capture identifiable features. This new joint reference design opens up tremendous possibilities for adding intelligent sensing with AI processing smarts at the edge, while offering privacy and avoiding the high cost of cloud computing. Integrating intelligence directly onto these sensing nodes allows functionality and scalability, such as the creation of digital twins for automated real-time space utilization or hot desking in shared workspaces. Other applications include traffic-based hospitality staffing, cleaning and maintenance alerts to address the labor shortage, and maximized energy efficiency through the fine-tuned usage of HVAC and lighting systems. “There are currently two choices ...