Interactive Learning for undergraduate and postgraduate engineering students.
A smart office is implemented that helped in reducing energy consumption in our daily life. A smart transportation is implemented to determine the distance of n object and to sense certain aspects of its neighbourhood by emitting infrared radiations. The ultrasonic sensor is used to detects an object and the IR sensors are used to follow the path.
The project focuses on obtaining the dimensions of objects captured within a specified (cropped) region of an image sourced from a live video stream of an Axis camera. Within the client application, the received image is first cropped to a predefined area of interest to isolate the region relevant for analysis. The system then performs object detection within this cropped section, identifying the target object. Once detected, the application calculates the object’s height and width by implementing contour detection techniques to outline the object’s boundaries accurately. Using this contoured area, the system further computes measurements such as the distance between a known reference object and an unknown object present within the specified region, enabling precise dimensional analysis.
The project is aimed at developing an online knowledge management system that is of importance to either an organization or a college. The system (KMS) is an online application that can be accessed throughout the organization or college. This system can be used as a knowledge/information management system for the college. Students logging in should be able to upload any kind of technical document. Students logging in may also access/search any information put up by others. KMS should have super users for approval of documents uploaded by others.
The objective is to develop an application where all the details of a particular apartment or buildings can be stored and be accessed by the registered users.
The main objective is to compare the different types of sorting algorithms and differentiate each sorting on the basis of time complexity.