Aim: Aim of the project is to reduce animal-vehicle collision on roadsides using machine learning and raspberry pi. Abstract: Animal-Vehicle collisions are a significant public health concern in various countries. The annual economic cost exceeds over..
Objective: The mainstay of the project is to design and develop a system is to prevent accidents occurring due to unaware of the vehicles approaching from other turns towards them, using IoT.Introduction:In today’s world, the technology has skyrocketed and has an impact on almost everyone’s life..
Aim: Aim of this project is to develop a personal assistant stick for visually impaired people to help identify faces of people standing in front of them, to identify indoor objects and used to read book or any readable document.Introduction: At present, screen free interactive ..
Aim: The Mainstay of the project is to develop a robot to identify and spray insecticides and hydrate plants. We involve AI based Image analysis to detect disease in agricultural domain.Abstract:  ..
Aim: This paper explores the advancement of the Internet of Things (IoT) and Machine Learning in the field of Road Safety and accident prevention with a state of the art review of various techniques adopted for implementing an intelligent road Safety System.Abstract..
Aim: The aim of the project is to develop a contactless automated system with IoT for employees to control door access with help of machine vision process and embedded systemAbstract:The Face Mask Detection can be done using the YOLO algorithm to classify facial masks using a deep learning sys..
Visually impaired persons (VIPs) comprise a significant portion of the population, and they are present around the globe and in every part of the world. In recent times, technology proved its presence in every domain, and innovative devices assist humans in their daily lives. In this work, a smart and intell..
Objective Aim of the project is to develop an assistive system for Alzheimer's patient which is capable to remind the location of objects or devices when patient need it. Abstract Alzheimer’s ..
Aim: To improve the Pedestrian detection rate and the localization accuracy using Cascade Compact CNN.Synopsis: Pedestrian detection has made significant advances benefiting from the region-based convolutional neural networks (..
Aim: Aim of the project is to build a small and portable bird classification device to monitor and survey migration birds in sanctuaries with the help of AI and IoT.Synopsis: The monitoring of birds has a widesprea..
Aim: The Main Objective of the project is to build an assist device for visually impaired people with deep learning algorithm, fall detection and payment option will be the part of the system. Abstract: At present, screen free interactive device..
Aim: The main aim of the project is to auto detect any violence action in public place and send alert notification in IoT. We use deep learning and embedded to implement. Abstract: Due to the increasing number of vio..
Aim: The aim of the project is will develop the Internet of Things (IoT) and deep Learning in the field of Road Safety and accident prevention. Abstract Thi..
Aim: Aim of this project is to develop a personal assistant system for visually impaired people to help identify faces of people standing in front of them and used to read book or any readable document.Introduction: At present, screen free interactive devices are emerging and p..
Aim: Aim of the project is to build an intelligent surveillance system for automated unregistered vehicles recognition by number plate detection and recognition.Introduction: The automated ob..