Machine Intelligence R&D

Integrating some level of intelligence into machines has always been at the heart of technology - We are at the forefront of patronizing deep learning, TensorFlow, OpenCV, Robotics & 3D Printing to take a leap into the future to achieve Machine Intelligence.

Deep Learning Implementation in Vision Integrated Robotics allows us to identify, class, localize and map various features of interest for Robotic access. We are building framework to push the limits of embedded AI computing devices such as NVIDIA Jetson TX2 to be deployed in manufacturing environment interfacing deep learning vision systems and industrial robotics. This allows accurate robotic access based on intelligence in a factory scenario. 

Deep learning integrated robotic vision systems can be applied for even hard to see objects such as transparent lens under changing ambient conditions or real-time decision making on hard to see objects on the road under changing ambient lighting conditions such as during assisted driving.

Technological collaboration for establishing state-of -the-art Advanced Machine Intelligence Research & Innovation Center featuring our handpicked digital infrastructure ideal for learning and research environment.

Research and Innovation collaboration with academic institutions for knowledge sharing and to provide guidance to students and faculty in executing innovative research projects in Industry 4.0 technologies.

Technical seminars and workshops on cutting edge technological advancements in Machine Learning, Robotics, Computer Vision and 3D Printing.

 Project Opportunities - We provide project work/research opportunities for select few bright and motivated students to work on cutting edge Industry 4.0 technologies and guide students to secure internship opportunities in globally renowned organizations to open up doors for engineering careers.

Future of Engineering is bright with Industry 4.0 technologies such as Machine Learning, Artificial Intelligence, Robotics and 3D Printing technologies.

To achieve success, students need to have relevant exposure to latest technologies and have to demonstrate the knowledge through innovative projects to enhance career opportunities.

Enrollments are currently open for Computer Science, Electrical, Electronics, Information Technology and Mechanical Engineering students - please refer to Training tab