Kaushal D. Jani,
Irfan Y. Belim,
- Assistant Professor, Department of Computer Application, Noble University, Junagadh, Gujarat, India
- Assistant Professor, Department of Computer Application, Noble University, Junagadh, Gujarat, India
Abstract
This paper presents a novel system that utilizes thermal imaging and CCTV cameras integrated with sensors to detect heat sources, specifically focusing on the detection of lions near railway tracks to prevent collisions. The system employs infrared thermal imaging to identify heat signatures of animals, particularly lions, that may create risk to his/her life. By combining thermal sensors and machine learning algorithms, the system is capable of accurately the heat of lions from environmental noise, enabling real-time detection. This technology can be installed on trains, allowing for early detection of lions on or near the tracks using CCTV cameras, which is crucial for timely intervention and collision prevention. Experimental evaluations demonstrate that the integration of thermal imaging and sensors significantly enhances the ability to detect animals, even in low visibility conditions. The proposed solution has the potential to improve lion safety and reduce wildlife-related accidents, offering a proactive approach to animal tracking and collision avoidance with train. This proposed solution may be helpful to save life of the lions in the Gir Forest where still trains run throughout the Forest area.
Keywords: Thermal Imaging, Image Processing, Machine Learning, Collision Prevention, Wildlife Conservation
[This article belongs to Recent Trends in Sensor Research & Technology ]
Kaushal D. Jani, Irfan Y. Belim. Sensor Guard: Thermal Sensor System for Lion Detection and Collision Prevention. Recent Trends in Sensor Research & Technology. 2025; 12(01):21-28.
Kaushal D. Jani, Irfan Y. Belim. Sensor Guard: Thermal Sensor System for Lion Detection and Collision Prevention. Recent Trends in Sensor Research & Technology. 2025; 12(01):21-28. Available from: https://journals.stmjournals.com/rtsrt/article=2025/view=194248
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Recent Trends in Sensor Research & Technology
| Volume | 12 |
| Issue | 01 |
| Received | 23/12/2024 |
| Accepted | 06/01/2025 |
| Published | 15/01/2025 |
| Publication Time | 23 Days |
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