In object-class detection, the task is to find the locations and sizes of all objects in an image that belong to a given class. The project titled ‘Face Detection and Recognition System’, is to manage all the front end back end system of finding or detecting particular region in human face.

In this project, we use a completely deep learning based approach to solve the problem of object detection in an end-to-end fashion. The network is trained on the most challenging publicly available data-set, on which a object detection challenge is conducted annually.

Detecting human beings accurately in a visual surveillance system is crucial for diverse application areas including abnormal event detection, human gait characterization, congestion...

Human beings have developed a number of evolutionary mechanisms that allows the distinction between different objects and the triggering of events based on their perception of reality.

The detection is important in many areas such as data mining, image processing, robotics, geographic information systems and pattern recognition. In this paper we propose a novel method to...

Human Detection uses computer vision to detect humans within a video. The detection of object in real-time scenarios is significant trend in industries from various cities for the surveillance. This can be used in: Counts the pedestrians along a path. Analyzing shopper behavior or dwell time.

A design flow diagram (DFD) shows how information flows through any system or process. It displays data inputs, outputs, storage locations, and routes between each destination using predefined symbols such as rectangles, circles, and arrows as well as brief text labels.

Nov 1, 2024 · In this paper, we design an object detection and tracking system based on deep learning methods. We propose an efficient system with software and hardware design. We apply the framework of Vitis AI and its Deep Learning Processing Unit using a hardware/software co-design approach.

3.1) HARDWARE REQ: DATA FLOW DIAGRAM: 1. PC should be sufficiently fast with adequate memory of at least 2GHz with 2GB RAM and 1GB GP, 4 GB hard disk space is required to run this application. 2. Screen resolution of at least 800*600 required to properly view the screen. 3.2) SOFTWARE REQ: 1. Most windows operating system would work. 2.

Based on the results and analysis, the system can perform people detection, people tracking and people counting on the recorded input videos with high accuracy of 94.45%, visualize the data on...