Quanergy Announces New Mini LiDAR Sensor
Small size and light weight make it well suited for drones
Quanergy Systems Inc., a provider of LiDAR sensors and smart sensing solutions, has launched an all-new miniature solid state LiDAR sensor — S3-Qi — that is 15 percent the size of the previous solid state model (S3). Quanergy is displaying the new sensor in at the Association for Unmanned Vehicle Systems International’s (AUVSI) XPONENTIAL, May 3-5, in New Orleans.
Four months after the unveiling of the S3 solid state LiDAR sensor, Quanergy is setting new benchmarks in size with a 1-by-1.5-inch footprint, weight at about 100 grams and low power consumption. The small form factor, combined with a cost-effective design, makes the S3-Qi well suited in multiple applications including drones. Mass production of the S3-Qi is targeted for Q1 2017.
“We are excited to raise the bar, once again, with the expansion of our product portfolio,” says Louay Eldada, Quanergy CEO. “The S3-Qi is a testament to our focus on the user and our investment in innovation for game-changing smart sensing solutions offered at price points that make their use ubiquitous. In drones, payload and battery runtime benefit greatly from our compact sensors.”
Quanergy will display its full product line at XPONENTIAL, the largest trade show for unmanned systems including drones, robots and autonomous vehicles.
Quanergy’s LiDAR sensors have applications in more than 30 market verticals including terrestrial and aerial mapping, security, transportation and industrial automation.
About Quanergy Systems
Quanergy Systems Inc. was founded in 2012 and builds on decades of experience of its team in the areas of optics, photonics, optoelectronics, artificial intelligence software and control systems. Headquartered in Sunnyvale, Calif., in the heart of Silicon Valley, Quanergy offers the LiDAR sensors and software for real-time capture and processing of 3D mapping data and object detection, tracking, and classification. In transportation, the data is utilized to greatly improve the accuracy and reliability of on-board driver safety systems and enhance them with perception, scenario analysis and decision making capability for active control, as well as enable autonomous driving in the future.