Search

Traffic violation monitoring and control is a major concern in India due to excess crowd, increasing commuters, bad traffic signal management, and rider mentality. It is obvious that physical traffic police-based monitoring alone is insufficient to monitor such large traffic volumes and simultaneously track violations. This has led to many violators going unnoticed. The violators, in turn, cause more serious mishaps on the road resulting in danger to their own life as well as to other’s life. Thus, there is a need for incorporating Artificial Intelligence (AI)-based techniques to eliminate manual intervention for the detection and catching of violators. In this paper, we propose a system to automatically detect two-wheeler violations like not wearing a helmet, usage of a phone while riding, triple riding, wheeling, and illegal parking for Indian road scenarios and eventually automating the ticketing process by capturing the violations and corresponding vehicle number in a database. We propose using a custom trained Yolo-v4 + DeepSORT for violation detection and tracking and Yolo-v4 + Tesseract for number plate detection and extraction. This implementation obtained a mean average precision (mAP) of 98.09% for violation detection and an accuracy of 99.41% for number plate detection on the test data. Further, the system detected 77 out of 93 violations with zero false positives in real-life scenarios. Thus,showing that the traffic violation system developed can be used to automate traffic violation ticketing. The developed system would be particularly useful in deriving various safety-related policies and will help to enforce strong regulation of traffic rules and build towards a smart city ecosystem via the automated AI-based traffic violation and ticketing system. [ABSTRACT FROM AUTHOR]

The paper presents wide-area back-up protection (WABP) and faulted line identification (FLI) scheme for series-compensated power transmission network. The proposed scheme uses the Koopman mode technique on fault current data obtained from phasor measurement units for WABP and FLI. The main advantage of the proposed scheme is that it is based on spatiotemporal information system (STIS). As we know that in real-world applications, often time and space exist together, and hence, dealing with spatial aspect without considering temporal aspect is of limited use. Similarly, the introduction of series compensation in a power transmission network is common nowadays due to many technical benefits. The FLI in a power network with series-compensation is more complicated due to complex transients produced by series capacitor and the metal–oxide varistor. The proposed scheme is developed using STIS for WABP and FLI under stressed conditions including power swing and load encroachment. The New England 39 bus system is used as the test system, which is developed on Dig-Silent power factory commercial software (PF4C) platform for evaluating the performance of the proposed technique. Further, the efficacy of the proposed scheme is also tested for other critical situations such as symmetrical fault during power swing and multievent detection and found to work effectively. [ABSTRACT FROM AUTHOR]

Programmable logic devices (PLDs) are increasing their presence in power electronics and motion control applications. With rising gate densities of PLDs, larger functionality is being incorporated. This paper looks at certain areas of motion control that are making use of PLD for faster control and in taking the processing load off the system microprocessor. [ABSTRACT FROM AUTHOR]