Jinesh Mehta


HCA-DBSCAN: HyperCube based Accelerated Density Based Spatial Clustering for Applications with Noise
Vinayak Mathur, Jinesh Mehta, and Sanjay Singh
NeurIPS 2019 Workshop

Innovated a novel grid-based clustering algorithm, which reduces the number of comparisons for forming clusters exponentially, resulting in reduction of the overall time complexity to 𝑛^(3/2) better than 𝑛^2 complexity of the traditional DBSCAN algorithm. Also, we acquired a significant computational speed up-to 58% over other improvements of the DBSCAN algorithm while maintaining 100% accuracy.

Face Detection and Tagging Using Deep Learning
Jinesh Mehta, Eshaan Ramnani and Sanjay Singh
International Conference on Computer,Communication, and Signal Processing 2018

Engineered the concept of Multi-view Face Detection and Tagging using Convolutional Neural Networks (CNN) - identifying faces from an image and provide labels to the detected faces using the Tensor-flow framework and Caffe library.Also, using this approach, we acquired an overall accuracy of 85% for facial recognition.

Pothole Detection and Analysis System (PoDAS) for Real Time Data using Sensor Networks
Jinesh Mehta,Vinayak Mathur, Dhruv Agarwal, Atish Sharma
International Conference on Innovative Research in Engineering and Science 2017

Constructed a low-cost wireless sensor-based end-to-end system using Ultrasonic sensors, Arduino Uno R3, GPS module, Gyroscope and Accelerometer. Further, the location of detected potholes are notified to the appropriate government bodies using this system.