The ARGOS project is currently at the point of testing the prototype. The prototype consists of one surveillance camera equipped with a jetson nano. We have evaluated the prototype using public datasets and have shown the system performance.
In the next stage, we will find potential customers and design the system based on their desires. Current technology will be the platform for running the desire application by the end-user. The customer discoveries will be started from Nov 2020. We will begin working on phase two of our project, customizing the ARGOS base on end-user desires in March 2020. We will release the alpha prototype in July 2020. We will install this prototype in target locations, evaluate system performance, and get customer feedback and new desires. Based on this information, we will start working on the next version of our product.
Team
Yezhou Yang
Dr. Yezhou Yang is an Assistant Professor at School of Computing, Informatics, and Decision Systems Engineering, ASU. He is directing the ASU Active Perception Group. Read More
His primary interests lie in Cognitive Robotics, Computer Vision, and Robot Vision, especially exploring visual primitives in human action understanding from visual input, grounding them by natural language as well as high-level reasoning over the primitives for intelligent robots. Before joining ASU, he was a Postdoctoral Research Associate at the Computer Vision Lab and the Perception and Robotics Lab, with the University of Maryland Institute for Advanced Computer Studies. Dr. Yang has published over 60 papers in the fields of Computer Vision, Robotics, AI, NLP, and Multimedia, including first author papers at the top-tier conferences in these fields (CVPR, ECCV, ICRA, AAAI, ACL and EMNLP) and journals in the related fields. His primary contributions lie in Computer Vision and Robot Vision, especially exploring visual primitives in interpreting peoples’ actions and the scene’s geometry from visual input, grounding them by natural language as well as high-level reasoning over the primitives for intelligent systems. He is a recipient of Qualcomm Innovation Fellowship 2011, the NSF CAREER award 2018 and the Amazon AWS Machine Learning Research Award 2019. He receives his Ph.D. from University of Maryland at College Park.
Past Successful Technology Transfers:
US Patent: “Learning manipulation actions from unconstrained videos.” U.S. Patent Application 15/011,025, filed August 4, 2016. Yezhou Yang et. al. The technology is licensed by the Robot Training Academy Inc. (A Maryland based start-up company).
US Patent: “Histology Style Transfer for Confocal Laser Endomicroscopy Images.” U.S. Provisional Patent filed. Yezhou Yang et. al. The technology is under final stage of licensing agreement with world-leading company in optical systems and optoelectronics.
Ryan Kemmet
J.D. Ryan Kemmet joined the Argos Vision team in July 2020 as a business developer due to his excellent ability to find opportunities to utilize existing technologies to create new solutions to real-world problems. Read More
Ryan was former Director of Global Innovation and Business Development of Linamar Corporation, acquired and commercialized ARPA-E funded technology from an independent research laboratory (Otherlab). He is Current Tech to Market advisor for ARPA-E financed projects. Independent consultant to Automotive Manufacturers. JD from Washington University in St. Louis, BS MSE from the University of Arizona.
Navid Hashemi
Dr. Navid Hashemi is an Assistant Professor in the computer science department at the College of Charleston (CofC), where he is the data science graduate program director. Read More
His research interests lie in IoT Analytics, Spatio-Temporal Data Mining, geographical information systems (GIS). Before joining CofC, he was a visiting assistant professor at Emory University. He received his Ph.D. in computer science with a minor in geography from the University of Georgia. His IoT systems and GIS expertise will help us correctly transfer the extracted data to the GIS format.
Rahul S Varma
Mr. Rahul S Varma is a graduate student in Computer Science at Arizona State University. He is currently working with Dr. Yezhou Yang at the Active Perception Group as part of his thesis. Read More
His primary interests lie in Computer Vision, especially in the field of energy efficient neural networks. He spent the last summer at Amazon where he worked as a Software Development engineer intern. Before joining ASU, he was a staff technical consultant at Oracle in India. He received his Bachelor of Technology in Computer Science from Amrita University in India.
