Journal of Analog and Digital Devices

Design of Boosted Cascade and RTLBP Features based Face Recognition Module Using ML in OpenCV

Sarswati Choudhary — 2023-12-11

Over the past ten years, face recognition in images has become more and more important. Since facial recognition is a natural talent for humans, it could be challenging to train a computer to recognize faces. The detecting difficulty comprises three stages. Without the requirement for picture difference or skin color identification, the detector operates in real-time at fifteen frames per second. Proposed and developed is a face recognition system based on Real Time Local Binary Pattern (RTLBP) and Boosted Cascade of Simple Features (BCSF). Preprocessing, face identification and recognition, and annotation are the three stages of the system. Segmentation, filtering, thresholding, and improving image quality are all part of preprocessing. The face, which is crucial for identification, is identified using the BCSF approach. Every face in the database has a correlation and RTLBP calculation. Correlation and RTLBP analysis between the captured face and the database face is then used to conduct recognition. One statistical technique that falls within the large category of factor analysis is the Boosted Cascade of Simple Features. By reducing the massive quantity of data stored to the extent of the feature space needed to represent the data efficiently, the BCSF seeks to achieve this goal. The RTLBP is designed to recognize faces by using a wide 1-D pixel vector consisting of a 2-D face picture in compact main parts of the space function. This is referred to as self-space projection. The identity of the vectors in the covariance matrix, which is centred on a set of fingerprint images, helps determine the proper space. Using OpenCV, Open Computer Vision (OpenCV), Python, Eigen-face, Fisher Face, LBPH, and Haar Cascade programming, an algorithm for a camera-based, real-time face recognition system is developed in this project. The name of the detected individual appears in the top left corner of a highlighted rectangle that annotates the face. The process of recognition takes 10.18 seconds, with a 99.93% success rate.

Real-Time Face Detection and Visitor Monitoring System Using MATLAB

Sai Kulkarni — 2023-12-11

It is impossible to overestimate the importance of precise visitor tracking systems in the quickly evolving world of today. For a wide range of businesses and institutions, including hotels, hospitals, airports, and schools, visitor tracking systems are essential. These systems support crowd control, security assurance, and data provision for analysis and decision-making.

Solar Operated Electric Scarecrow

Anjali R. Jadhav — 2023-12-13

This research presents an innovative method for agricultural pest control using an electric scarecrow system that runs on solar power and is controlled by the YOLOv5 object detection model. Historically, traditional scarecrows have not proven very effective at keeping out pests because they are immovable and have low accuracy in intrusion detection. To address these limitations, our innovative approach makes use of solar energy for continuous operation and the YOLOv5 deep learning architecture for real-time pest identification. Our system's main component is a solar-powered platform that is placed in agricultural fields with motion sensors and cameras. The YOLOv5 model is used to evaluate live camera feeds and is deployed on edge devices to rapidly and correctly identify pests. The scarecrow's electric system releases deterrents when it detects something. This study provides a thorough examination of the technical details, performance indicators, and financial sustainability of the solar-powered electric scarecrow. According to the research, this creative approach has the potential to completely transform crop protection techniques by providing a cost-effective and environmentally friendly substitute for conventional scarecrow systems.

An Internet of Things-Based Temperature Monitoring System: Design and Deployment

Nitin Mandaogade — 2023-12-11

The primary goals of this project are to create an autonomous temperature ventilation system that can thoroughly temperate a room and to monitor the voltage of AC-supported equipment. This will also prevent our electronics from becoming too hot. The purpose of this project is to automate machinery by using a Node MCU microcontroller and IP networking to allow for remote access and control. Overheating may be prevented in part by using a smartphone to remotely activate devices like lights, fans, and refrigeration units. This technique is especially useful in modern settings where maintaining a comfortable temperature is essential. To demonstrate the practicality and efficiency of the suggested voltage management technique, it has been implemented using goods such as an AC light, an AC fan, and a DC cooling fan. The use of IoT is increasing day by day; the significance and utilization are on the increase with more sophistication. In a real-world situation, the electricity board calculate the bill amounts and passes them to the user mail or EB card.

Analysis, Design & Implementation of Wireless Power Transfer For Electric Vehicle Applications

A. Srilatha — 2023-12-16

Electric vehicles (EVs) are being used increasingly in place of combustion engine vehicles to lessen the demand for fossil fuels and minimize pollution in the environment. Various charging techniques are being used to meet the primary concerns of EV users. Setting up the infrastructure for charging EVs is the main challenge. In the expanding EV industry, the wireless charging system (WCS) is a preferred choice. This research develops a WCS using inductively linked power transfer technology for charging electric automobiles. This paper proposes wireless power transfer by boosting the voltage using a wireless transformer. The voltage boosting control has three winding DC-DC converter with a high input class e amplifier for increasing the high-frequency transformer. The overall system performance generally acts as a high switching frequency. The wireless transformer has distanced a few meters from primary to secondary, so the output voltage transmits efficiently.