Aller au contenu principal
2024 conference-paper

Intelligent Automation in Long Vehicles through LDR Sensor Technology for Accident Prevention

6Citations signalées — pas une note de qualité
1Institutions déclarées
1Pays d’affiliation déclarés

Résumé fourni par la source

Transportation plays a significant role in everyday life. Moving individuals or goods from one location to another is called transportation. The import and export of goods significantly impact the country’s economy. Road transport is a crucial land transport used for importing and exporting goods. Heavy vehicles like trucks, containers, and tailors are used for transportation. Driving at night can be challenging since the vehicle’s visibility is reduced, which increases the risk of serious accidents. Even shipping goods through North India during fog and mist is more difficult for lengthy lorries. The drivers have been killed in numerous accidents in the past. The visibility of heavy vehicles must be improved to avoid accidents. Heavy vehicles employ the side lamp to increase visibility and communicate their presence to other vehicles. To set up the side lamp such that it turns on and off automatically, depending on the quantity of light. The automatic heavy vehicle indicator light system ensures great visibility in low-light conditions, increasing safety by effectively and reliably adjusting to ambient light levels through the use of an LDR-based circuit. Because of its affordability and practicality, it enhances road safety while lowering power consumption for energy efficiency.

Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.

Contrôle bibliographique ouvert

DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.

Titre Crossref
Intelligent Automation in Long Vehicles through LDR Sensor Technology for Accident Prevention
Date Crossref
17/04/2024
Éditeur
IEEE
Type
proceedings-article

Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude et ne compte pas comme une seconde source scientifique indépendante.

Institutions déclarées

Une affiliation ne permet pas de déduire la nationalité d’un auteur.

Sujets associés

Fire Detection and Safety SystemsAdvanced Neural Network ApplicationsIoT and GPS-based Vehicle Safety Systems

BNTIC News n’est pas le producteur de ces données. Recherche à la demande dans Crossref, OpenAIRE, DOAJ, Europe PMC, HAL, DataCite, ROR et la Banque mondiale, sans clé ; OpenAlex reste optionnel. Aucun service payant requis, aucune donnée externe enregistrée en base. Sources et limites.