Akash Basudevan

1) Video Analytics on Edge(Google coral, Nvidia Jetson): -> Smart Factory: Worked on the POC for safety accessory(Hard hat, etc) detection in a particular zone around the workstation which consisted of robotic arms. The arms would work only if the safety conditions were met. -> Working on a large scale security system using face detection, face recognition, and face occlusion detection. -> Worked on analyzing social distancing from a CCTV footage. -> Worked on high-density crowd counting which cannot be done accurately with object detection models. 2) Information Extraction -> Automatically extracting Key/ Value pairs on various types of forms. -> Automatic Information Extraction From Shipping Labels: Reduced 90% manual labor by automatically extracting name and address components from images of the delivery invoices of multiple vendors such as Amazon, FedEx, Ups, etc. -> Line Chart Knowledge Extraction: Line Chart Knowledge Extraction is a tool that automatically extracts information from research paper line graph images with a limited scope. ->Table Detection and Automatic Information Extraction from images of Tables with limited scope using GANs. 3) Natural language Processing ->Question Answering System: Implemented an end to end question answering system for a huge corpus of pdf manuals. 4) Miscellaneous ->Exploratory Data Analysis: Extensive Exploratory Data Analysis on a multi-level dataset. Built base classification models to predict intermediate features.

Remote Video Surveillance: Designed and Implemented the back end for a RVS System using Python, FFMPEG and openCV. Deployed the system on AWS and completely automated AWS management steps using boto library of python. Data Augmentation: Generated different perspectives of an image using the keras library ofpython and produced over 10 million images from 0.6 million images. Made frame extraction from video 50% more efficient by splitting videos in segments and mapping the frame numbers from the large video to the splitted videos. Explored basics of Neural Networks and Regression Analysis