Asian Surveying & Mapping
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Bricsys’ local partner, ACA Pacific, selected by Singapore government as Productivity Solutions Grant (PSG) vendor
The partnership will enable Singaporean companies to access the...
MapmyIndia joins hands with ISRO to boost 3D mapping
Homegrown navigation firm MapmyIndia on Friday said it has...
ISRO and Pataa to develop satellite image-based digital addresses
Bengaluru: Pataa Navigations and Indian National Space Promotion and Authorisation...
Esri UK launches careers resources to inspire more students to study geography and GIS
Esri UK today announced a new Careers with GIS...
Southeast Asia’s Grab to offer mapping services to other firms in search for profit
(Reuters) - Grab Holdings Ltd said on Wednesday it...
Hancom launches S. Korea’s 1st commercial Earth observation satellite
SEOUL - A SpaceX Falcon 9 rocket lifted off...
Chinese Automaker Launches Nine Satellites to Aid Self-Driving Cars
China’s Zhejiang Geely Holding Group unveiled the first nine...
NASA team in India to discuss on joint mission ‘NISAR’ with ISRO; launch likely by Q1 2023
A visiting delegation from the American Space Agency (NASA)...
South Korea Embarks On Domestic UAS Development
SEOUL—South Korea’s Agency for Defense Development (ADD) has confirmed...
Australian 5G Innovation Initiative SkyLink UTM Trials
The 5G UTM trial is part of an overall...

October 3rd, 2018
Percepto Robotics Earns Acclaim from Frost & Sullivan for Incorporating Machine Vision Algorithms in its Sparrow Drones

SANTA CLARA, Calif. – Based on its recent analysis of the global autonomous drones market, Frost & Sullivan recognizes Percepto Robotics (Percepto) with the 2018 Global Enabling Technology Leadership Award for employing machine vision algorithms in its proprietary Sparrow drones as part of its complete autonomous drone-in-a-box system. This differentiating technology makes its drones fully autonomous; capable of operating based on what they ‘see’ rather than follow predetermined GPS coordinates. Percepto’s Sparrow drones can deploy in complex environments where conditions might change from mission to mission.