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| | Vision-based Analytics for Improved Real-World AI-driven IoT Applications | 
| Amit PhD Candidate
School of Information Systems
Singapore Management University
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Research Area
Dissertation Committee Research Advisor Committee Members External Member - Dr. Rajeev Rastogi, Vice President, ML, Amazon Inc.
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Date
22 December, 2020 (Tuesday) |
Time
3:00pm - 5:00pm |
Venue
This is a virtual seminar. Please register by 20 December, the webex link will be sent to those who have registered on the following day. | We look forward to seeing you at this research seminar. ![]()
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| | About The Talk The market for Internet of Things (IoT) devices is witnessing rapid growth in recent times, primarily because of low-cost sensors and emergence of powerful embedded device platforms. Vision based sensing via such IoT devices has enabled a wide variety of compelling new applications across domains such as home automation, smart healthcare, smart appliances and smart city analytics. These applications are being driven by the introduction of Deep Neural Network (DNN) based models, which enable capabilities such as object detection, face recognition and human activity recognition. Nevertheless, the use of such DNN-based visual processing, over data collected by vision sensors embedded in pervasive devices, still has several limitations that inhibit their effective use for in-the-wild deployments, across locations such as residential homes, university campuses and retail & wholesale markets. This dissertation describes two systems, namely SmrtFridge and CollabCam, to demonstrate how several such limitations for AI driven IoT-based applications can be overcome by (a) using a combination of IR and Visual sensors to better isolate objects that need to be visually sensed and (b) exploiting partial spatial overlap between cameras, in a multi-camera system, for mixed-resolution image sensing, which in-turn leads to overall energy savings of a vision sensor during image capture, optional storage and network transmission. | | | Speaker Biography Amit is a PhD candidate in the School of Information Systems, Singapore Management University, working in the area of mobile and ubiquitous computing. He is advised by Professor Archan Misra. He received his Master of Technology degree in mobile & ubiquitous computing from IIIT Delhi in 2014. His current research focuses on developing vision analytics techniques for improving AI-driven Internet of Things (IoT) applications. |
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