RFID Enabled Embedded System for Autonomous Speed Control and Collision Avoidance

Road traffic accidents continue to pose a significant threat to public safety worldwide, with speeding and human oversight being major contributing factors. To address this challenge, the proposed project introduces an intelligent speed control system that minimizes collision risks using embedded systems integrated with Radio-Frequency Identification (RFID) technology. The system is designed to dynamically detect nearby vehicles or robotic entities using passive RFID tags. A microcontroller interprets these signals and adjusts the vehicle’s or robot’s speed accordingly. This mechanism ensures a reduction in collisions, particularly in environments like industrial zones or mining operations where sharp turns and blind spots are common. This model is especially suitable for industrial robots or autonomous systems that operate continuously. The integration allows for smooth navigation around corners and gradients, thereby increasing safety and efficiency. The proposed method improves detection precision, shortens response time, and adapts effectively to different operating conditions.

Authors

Publication Details

Journal
International journal of research and scientific innovation
Published
2025-01-01
DOI
https://doi.org/10.51244/ijrsi.2025.120500178
Primary Topic
Autonomous Vehicle Technology and Safety
Type
article
Field-Weighted Citation Impact
0.00
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article

RFID Enabled Embedded System for Autonomous Speed Control and Collision Avoidance

Anitha Bujunuru, Syed Altaf Hussain, Samudrala Harishkumar, T. Kishen Kumar Reddy
International journal of research and scientific innovation
Autonomous Vehicle Technology and Safety
article

RFID Enabled Embedded System for Autonomous Speed Control and Collision Avoidance

Anitha Bujunuru, Syed Altaf Hussain, Samudrala Harishkumar, T. Kishen Kumar Reddy
article en

Abstract

Road traffic accidents continue to pose a significant threat to public safety worldwide, with speeding and human oversight being major contributing factors. To address this challenge, the proposed project introduces an intelligent speed control system that minimizes collision risks using embedded systems integrated with Radio-Frequency Identification (RFID) technology. The system is designed to dynamically detect nearby vehicles or robotic entities using passive RFID tags. A microcontroller interprets these signals and adjusts the vehicle’s or robot’s speed accordingly. This mechanism ensures a reduction in collisions, particularly in environments like industrial zones or mining operations where sharp turns and blind spots are common. This model is especially suitable for industrial robots or autonomous systems that operate continuously. The integration allows for smooth navigation around corners and gradients, thereby increasing safety and efficiency. The proposed method improves detection precision, shortens response time, and adapts effectively to different operating conditions.

International journal of research and scientific innovationVol. XII(V)
Openalex Percentile: Top 86%
Autonomous Vehicle Technology and Safety
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RFID Enabled Embedded System for Autonomous Speed Control and Collision Avoidance — Anitha Bujunuru, Syed Altaf Hussain, et al. · International journal of research and scientific innovation (2025) | TGRS Research Map | TGRS