Conference Papers

Permanent URI for this collectionhttps://idr.nitk.ac.in/handle/123456789/28506

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Author: search.filters.author.Kiran, C.

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    Deployment of Computer Vision Application on Edge Platform
    (Institute of Electrical and Electronics Engineers Inc., 2021) Geetha, V.; Kiran, C.; Sharma, M.; Rakshith Kumar, J.
    In our work, we propose a low cost device which will aid visually impaired people to understand what is in their surroundings without the requirement of internet. Current technology makes use of Cloud Architecture and would require internet to achieve this purpose. But these systems will not work in areas with poor internet connectivity. Edge platform built on Raspberry Pi powered with Intel Neural Compute Stick is used by us for this purpose. Multi Label Image Classification Deep Learning Model is trained in the cloud. It is later optimised and deployed on Edge Device which is Raspberry Pi. Setup also consists of PiCamera which will record the video and give it as input to deployed model. Model will describe the items present in video, basically describing the surroundings. The output is in the form of audio which is played through speakers, thus enabling visually impaired people to understand their surroundings without the requirement of internet. Deployment of popular Machine Learning and Deep Learning Models is also examined in the edge device and a comprehensive performance evaluation is performed. © 2021 IEEE.
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    LiCamPos : An Indoor Positioning System using Light to Camera Communication
    (Institute of Electrical and Electronics Engineers Inc., 2021) Salvi, S.; Geetha, V.; Praveen, K.; Kiran, C.; Nayaka, V.J.
    Due to the limitations of the Global Positioning System to track or locate ultra-small resolutions, Indoor Positioning System(IPS) came into existence. IPS is used to provide useful indoor location-based information. Mostly Radio Frequency (RF) based system is used to achieve IPS. However, alternatives to RF are getting popular due to the debatable health risks of RF. In this paper, a light-based camera communication technique for IPS is proposed and evaluated. The proposed method uses a light aperture to encode location beacon information and is decoded using image processing techniques on the user's mobile phone. An On-Off Keying (OOK) modulation technique is employed to encode and broadcast beacon information, and software-based custom modified mobile camera parameters are used for position estimation. A phenomenon called the "Rolling Shutter"effect is used to extract useful information from the beacon. During experimentation, it was observed that the number of observable rolling shutter stripes is inversely proportional to the distance between the beacon and the receiver, and it is directly proportional to the frequency of OOK. It was also observed that the stripe's width is independent of the distance between beacon and receiver. Finally, an android application is built to show location-relevant messages/ads based on the identified beacon. © 2021 IEEE.