Research output per year
Research output per year
Personal profile
Research Interests
Computer Vision, Deep Learning and Internet of Things, Artificial Intelligence, Computer Graphics, Embedded Application Development, and Web Designing.
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Dive into the research topics where Vidya Kamath is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Pro-CHASER: A Prototype testbed for Car Hacking Attack Simulation and Evaluation using Raspberry Pi to Investigate Threat Landscape
Vanajakshi, J., Renuka, A., Kamath, V. & Adesh, N. D., 2025, (Accepted/In press) In: IEEE Access.Research output: Contribution to journal › Article › peer-review
Open Access -
VireNet-SSD: object detection model for resource-constrained applications based on self-organized operational neural networks
Kamath, V. & Renuka, A., 2025, (Accepted/In press) In: Neural Computing and Applications. 109311.Research output: Contribution to journal › Article › peer-review
Open Access -
Exploratory Data Preparation and Model Training Process for Raspberry Pi-Based Object Detection Model Deployments
Kamath, V., Renuka, A., Kini, V. G. & Prabhu, S., 2024, In: IEEE Access. 12, p. 45423-45441 19 p.Research output: Contribution to journal › Article › peer-review
Open Access2 Citations (Scopus) -
Investigation of MobileNet-Ssd on human follower robot for stand-alone object detection and tracking using Raspberry Pi
Kamath, V. & Renuka, A., 2024, In: Cogent Engineering. 11, 1, 2333208.Research output: Contribution to journal › Article › peer-review
Open Access2 Citations (Scopus) -
Real-Time Applicability Analysis of Lightweight Models on Jetson Nano Using TensorFlow-Lite
Vidya, K., Renuka, A. & Vanajakshi, J., 2024, Machine Intelligence for Research and Innovations - Proceedings of MAiTRI 2023. Verma, O. P., Wang, L., Kumar, R. & Yadav, A. (eds.). Springer Science and Business Media Deutschland GmbH, p. 285-294 10 p. (Lecture Notes in Networks and Systems; vol. 832).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
2 Citations (Scopus)