Professor, IIT Delhi
Prof. Balakrishnan has close to 30 years of experience in teaching and research at IIT Delhi. He is also a principal investigator in Assistech group.
Assistant Professor, IIIT Delhi
Dr. Chetan is an alumni of IIT Delhi. He has been actively involved with the Assistech group as a vision expert.
PhD Student, IIT Delhi
I am looking into MAVI as a system level design problem and exploring research options within that. My primary research objective is to enable an efficient exploration of various design choices in MAVI.
PhD Student, IIT Delhi
I am using MAVI as a platform for research on fusion of various types of sensors for optimization of system objectives like power, accuracy, etc. I'm also looking into the cognitive modelling for actuators through which the information is conveyed to the user.
|Saurav Solanki||Worked on MAVI Integration and Control System.|
|Akshay Pansari||Worked on object detection module and acceleration.|
|Vaibhav||Worked on dog detection module.|
|Swapnil Das||Worked on Face Recognition acceleration with Intel Movidius.|
|Kartar Singh||Worked on enhancing the control system as well as API definition for different tasks.|
|Chrystle Myrna Lobo||Worked on animal detection. Working on video based object tracking.|
|Ayush Verma||Worked on accelerating Signboard detection along with OCR analysis.|
|V. Sajit Gupta||Worked on cloud implementation of Animal Detection.|
|Sarvesh Chandoliya||Worked on Face Recognition system in MAVI using OpenFace. Also helped in system integration.||[Thesis]|
|Anil Kumar Meena||Worked on signboard detection and OCR. Also contributed the signboard dataset.||[Thesis]|
|Mukund Rungta||Worked on object detection and speed up using Movidius Neural Compute Stick. A major contribution to the team was the dog dataset.||[Thesis]|
|Akhil Soni||Worked on the control system and developed a prototype based on Google cloud services.||[Thesis]|
|Divya Praneetha||Working on Localization module in MAVI which helps in navigation for visually impaired. The module receives data from GPS and IMU devices and performs sensor fusion through Kalman filtering.|
|Sachin Yadav||His role in MAVI is to experiment with RGB-D (RGB + depth) input via Intel RealSense R200 to determine its viability for use in the MAVI system, particularly as a primary device for pothole detection.|
|Richa Verma||I worked on the animal detection module of MAVI, focussed on Cow Detection. We used both HOG+SVM as well as SSD Approach for the same.||[Thesis]|
|Prerna Agarwal||I worked on the Texture Detection module of MAVI. This task involves identifying texture of the surface on which the blind person is walking.||[Thesis]|
|Srijan Mishra||I am working on the problem of shadow detection and removal. Shadows cause a lot of problem in feature detection in tasks like texture detection and their removal is essential for such algorithms to work properly.|
|Saurabh Agrawal||I worked on the design of a hardware accelerator for face detection and recognition.||[Thesis]|
|Durgesh Choudhary||I worked on Surface Texture Detection and Pothole Detection module of MAVI.||[Thesis]|
|Anand Agarwal||I worked on Signboard Detection module of MAVI. This task involves identifying the signboards present in the vicinity of a blind person. Identifying the text on the signboard and delivering the message to the person is the end goal of this module.||[Thesis]|
|Munib Fazal||I worked on the Face Detection Module for MAVI.||[Thesis]|
|Dedeepya Reddy||I worked on the Signboard Detection Module for MAVI.||[Thesis]|
|Nipun Gupta||I worked on the Android App development for MAVI.||[PPT]|
|KK Hassan Basha||I worked on the Localization Module for MAVI.||[Thesis]|
|Yoosuf K K||I worked on the Texture Detection Module for MAVI.||[Thesis]|