Deep Learning in Industry 4.0
Deep Learning integrated Robotics in Manufacturing
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 pickup of various objects based on intelligence in a factory scenario.
Deep learning vision systems can be applied for even hard to see objects such as transparent lens under changing ambient conditions or for identifying mechanical components such as nuts & bolts or in food grading and sorting as discussed in use cases below.
Deep Learning implementation - Use Cases
Automotive
Robotic Lens Handling
Robotic Lens Handling
Trained models identify automotive parts, defects in assembly or process, classify and also map their location for robotic access
Train -> Classify -> LAM (Localization & Mapping)
Robotic Lens Handling
Robotic Lens Handling
Robotic Lens Handling
Identifying transparent objects such as lens is achieved through Deep Learning. Lens are identified and location mapped for robotic access
Train -> Classify -> LAM (Localization & Mapping)
Food Grading & Sorting
Food Grading & Sorting
Food Grading & Sorting
Identifying Fruits & vegetables is achieved through Deep Learning. Fruits are identified by type and location mapped for robotic access
Train -> Classify -> LAM (Localization & Mapping)
Visual Process Control
Food Grading & Sorting
Food Grading & Sorting
Real time visual operational confirmation is achieved through spatio-temporal analysis of scenario through deep learning implementation
Train -> Classify -> Feedback
Additional R&D Areas of Interest
Machine Vision
Prototying of Jigs and Fixtures
Prototying of Jigs and Fixtures
Lost cost, high performance vision systems used in smart factory Robotic applications are researched, prototyped and programmed.
Prototying of Jigs and Fixtures
Prototying of Jigs and Fixtures
Prototying of Jigs and Fixtures
3D Printing of jigs and fixtures saves tremendous amount of time, effort & cost compared to traditional methods.
Robotic End Effectors Prototyping
Prototying of Jigs and Fixtures
Robotic End Effectors Prototyping
Custom end effectors are innovated through design, prototyping using 3D printing, robotic integration and programming.
Robotic Integration for Intelligent Industrial systems
