Internship Programs (Online and Offline)
- Embedded systems
- IoT Development
- Firmware Development
- Computer Vision & Image Processing
- Machine Learning & Deep Learning
- Python Programming
- Website Development using PHP and MySQL
- MATLAB Programming
- Robotic Engineering
- Computer vision (CV)
Computer Vision is the process of using machines to understand and analyze imagery (both photos and videos). While these types of algorithms have been around in various forms since the 1960’s, recent advances in Machine Learning, as well as leaps forward in data storage, computing capabilities, and cheap high-quality input devices, have driven major improvements in how well our software can explore this kind of content.
Computer vision tasks include methods for acquiring, processing, analyzing and understanding digital images, and extraction of high-dimensional data from the real world in order to produce numerical or symbolic information, e.g., in the forms of decisions. Understanding in this context means the transformation of visual images (the input of the retina) into descriptions of the world that can interface with other thought processes and elicit appropriate action. This image understanding can be seen as the disentangling of symbolic information from image data using models constructed with the aid of geometry, physics, statistics, and learning theory.
As a scientific discipline, computer vision is concerned with the theory behind artificial systems that extract information from images. The image data can take many forms, such as video sequences, views from multiple cameras, or multi-dimensional data from a medical scanner. As a technological discipline, computer vision seeks to apply its theories and models for the construction of computer vision systems.
- Machine Learning and Deep Learning
Machine learning is a type of artificial intelligence (AI) that provides computers with the ability to learn without being explicitly programmed. This area is also concerned with issues both theoretical and practical.
Deep learning is a machine learning technique that teaches computers to do what comes naturally to humans: learn by example. Deep learning is a key technology behind driverless cars, enabling them to recognize a stop sign, or to distinguish a pedestrian from a lamppost. It is the key to voice control in consumer devices like phones, tablets, TVs, and hands-free speakers. Deep learning is getting lots of attention lately and for good reason. It’s achieving results that were not possible before.
In deep learning, a computer model learns to perform classification tasks directly from images, text, or sound. Deep learning models can achieve state-of-the-art accuracy, sometimes exceeding human-level performance. Models are trained by using a large set of labeled data and neural network architectures that contain many layers.
- Embedded systems
Embedded systems are an inseparable part of our life. Be it home, office or on the move, we are always surrounded by embedded systems. From home appliances like television, washing machine or workplace gadgets like printers, elevators to automobiles or automatic traffic control systems, all work on embedded technologies.
Embedded systems is an emerging technology, which is attracting a lot of investors from industries like telecom, automobile and other small scale embedded systems. This growth is bringing in a lot of job opportunities in various industries- Research and development is one such sector, which is of great benefit to the Indian market because of the talent it possesses in terms of quality and quantity.
A vast growth has been noticed in this sector over the past few years. The students are not only attracted towards the handsome salaries that this sector offers, but also the scope for a fresher or a less experienced designer to explore his/her creativity by working on innovative projects. The fresher’s, especially from the electronics, computers and operating systems background have the right caliber to start ahead on embedded systems. It is the right time to join this race.
In today’s competitive Electronics market scenario, India too holds a market value but as compare to other countries we still feel that a lot needs to be done to prove our potential in electronics (R&D) domain too.