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 acquiringprocessinganalyzing 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