Internship

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.

Genuine Selfie detection Algorithm for Social media Using Image Quality Measures	IEEE
Recognition of Speed Limit from Traffic Signs Using Naive Bayes Classifier	IEEE
Portable and Centralised E-Health Record System for Patient Monitoring Using Internet of Things(IoT)	IEEE
Adaptive Scheduling Algorithm for Centralised Building Energy Management System	IEEE
Image Quality Measures Based Face Spoofing Detection Algorithm for Online Social Media	IEEE
A Non Verbal Behaviour Analysis for Distress Detection Using Texture Analysis	IEEE
Neural network based fault reduction in wafer scanning system	IEEE
Computerized Detection of Macular Edema Using OCT Images Based on Fractal Texture Analysis	IEEE
A novel algorithm for early detection of fetal arrhythmia using ICA	IEEE
Feature extraction and classification of Dementia with neural network	IEEE
A novel method based on chan vese segmentation for salient structure detection	IEEE
Feature based simultaneous localisation and mapping	IEEE
Adaptive fault reduction of a wafer scanning system using artificial neural network	IEEE
Biomedical Image Integrity Check for Telemedicine Applications by Hash Embedding & Wavelet Compression	IEEE
An effective segmentation algorithm for the hyperspectral cancer images	IEEE
Real time human tracking system for defense application	IEEE
Advanced earlier melanoma detection algorithm using colour correlogram	IEEE
Myocardial infarction detection using hybrid BSS method	IEEE
Advanced algorithm for polyp detection using depth segmentation in colon endoscopy	IEEE
A novel shadow removal algorithm using Niblack segmentation in satellite images	IEEE
Facial expression recognition and gender classification using facial patches	IEEE
Advanced algorithm for gender prediction with image quality assessment	IEEE
Personal authentication using partial palmprint and palmvein images with image quality measures	IEEE
Sclera vein identification in real time using single board computer	IEEE
A novel design for vehicle license plate detection and recognition	IEEE
Analysis of carrier frequency offset in WFRFT-OFDM systems using MLE	IEEE
Frequency offset estimation of WiMAX using repeated preamble	IEEE
Security enhancement in image steganography for medical integrity verification system	IEEE
Pre processing the abdominal ECG signal using combination of FIR filter and principal component analysis	IEEE
Inverse kinematics solution of a five joint robot using Feed forward and Elman network	IEEE
Stereo vision based (3D) human detection and targeting	IEEE
Advanced Partial Palmprint Matching Based on Repeated Adjoining Minutiae	IJRITCC
Image Quality Measures for Gender Classification	IJRITCC
Advanced Artery / Vein Classification System in Retinal Images for Diabetic Retinopathy	IJRITCC
Depth Segmentation Method for Cancer Detection in Mammography Images	IJRITCC
Implementation of an effective and intelligent system for human detection and targeting	IRCAST
EFFICIENT BORDER DEFENCE SYSTEM USING IMAGE PROCESSING	IJIIE
Effective and Efficient Robotic System in Human Rescue Operation and War Field	IJIIE
STEREO VISION BASED HUMAN TARGETING SYSTEM	IJIIE
AUTOMATIC HUMAN DETECTION AND TARGETING SYSTEM IN DEFENCE	IJIIE
Intelligent Air Conditioning System for Energy Management Using Wireless Control	IJISET
Automatic vehicle number plate detection and recognition	IEEE
Real Time Facial Emotion Recognition using Deep Learning	IJIIE
Machine Learning Algorithm For Speed Limit Detection From Traffic Sign Board	IJIIE
Real- Time Hand Gesture Recognition Using Deep Learning	IJIIE
Automatic Brain Hemorrhage Detection Using Artificial Neural Network	IJIIE
Liver Abnormality Detection using Segmentation based Fractal Texture Analysis	IJIIE
Real Time Source Camera Identification using Advanced Blind Source Separation Method	IJIIE
Machine Learning Algorithm for Fire Detection using Color Correlogram
Non-contact Heart Rate Monitoring Using Machine Learning
Machine Learning Algorithm for Respiration Analysis with Blind Source Seperation
Efficient algorithm for object detection using saliency feature in machine vision systems
Smart Agro: IOT Based Rice Plant Health Monitoring System
Real Time Facial Emotion Recognition using Deep Learning
Real-Time Hand Gesture Recognition Using Deep Learning
CENTRALIZED IMAGE FORGERY DETECTION SYSTEM WITH DIGITAL WATER MARKING
Classification of liver tumor using SFTA based Naïve Bayes classifier and support vector machine
EEG feature extraction and classification in multiclass multiuser motor imagery brain computer interface u sing Bayesian Network and ANN
A novel algorithm for earlier down syndrome detection in fetal ultrasound images
Automated Detection and Classification of Exudates in Retinal Images Using Discrete Wavelet Transform and Artificial Neural Network
Estimation of Diabetic Retinopathy from Retinal Images Using Artificial Neural Network
Advanced Segmentation Algorithm for Cancer Detection in MRI and Mammography Image
Analysis of carrier frequency offset in WFRFT-OFDM systems using MLE

Internship

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