Surveillance cameras also known as Closed Circuit Tele-Vision (CCTV) play a major part in the enforcement of the law and the administration of justice. The present level of industrial production technology cannot differentiate between a good and a bad, or even a bit worse, situation. As a consequence, additional crime scene investigation or law order maintenance work is needed, which takes a lengthy time. The suggested work is being utilized for a number of purposes, including surveillance, weapon monitoring and classification, live tracking, and more. Video input is permitted as a type of raw input in this project for monitoring and detecting abnormal events utilizing realtime detection techniques such as You Look Only Once Version 3 (YOLO V3). The proposed project's operations make use of a processing module for object recognition using convolutional neural networks such as YOLO V3, which predicts classes and bounding boxes for the entire image in a single run of the algorithm. The circular area will be watched by CCTV, which will automatically execute all operations and be controlled. Before implementing in such a setting and delivering optimal results, numerous samples and datasets will be examined to find accuracy in detection and classification. The planned effort aims to significantly reduce crime rates while simultaneously providing improved protection in specific areas and decreasing the time it takes to capture a criminal.
Wireless Networks gained great attention in recent years. In this paper, the proposed Sensor Network Based Oil monitoring system a demo design is proposed. Our system takes the measurements of fluid levels by installed sensors in fluid storing tank. This system works with the 3 oil tanks (tank A, B, C) having same types of sensors stored in tanks to sense the data (level of oil). All three information regarding three levels will be send via RF transmitter. Sent out signals will be received by RF receiver that will be connected to other processor via RF decoder at recording and display end. This is system, which will be connected to computer system's serially via RS-232 interface to send the measured data or information into computer system to display measurement in form of bars and to record measured data in computer's database. The Aim of this study is to illustrate how much accurate the level of oil in particular tank during different Temperature conditions and how much variations will be there in the measurements at that time.
FDDI is an optical standard for data transmission which gave a transmission speed of 100 Mbit/s in a local area network. The throughput and response time is a measure of performance of a network. The performance of the FDDI system depend on various parameters namely ring latency, TTRT, number of stations, bandwidth, transmission delay, propagation time and group velocity. The throughput or the efficiency of the network can be increased by controlling and then minimizing the ring latency with respect to TTRT. The response time can be improved by decreasing the transmission delay and propagation time with respect to the bandwidth and group velocity respectively.
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