SAFETY GEAR DETECTION AND INSURANCE ELIGIBILTY PROGNOSIS SYSTEM
Abstract & Details
Research Area
Computer Science and Engineering
Keywords
Safety Gear Recognition
Personal Protective Detection
Insurance Eligibility Assessment
Prognostic Analysis
Insurance Claim Prediction.
Abstract
Construction sites are known for their inherent risks and hazards, making safety a top priority. The effective use of safety gear significantly reduces the likelihood and severity of accidents. However, ensuring that workers are consistently wearing the appropriate safety gear remains a challenge. Additionally, insurance providers need reliable data to assess the eligibility of construction companies for coverage based on their adherence to safety regulations. This abstract presents a novel Safety Gear Detection and Insurance Eligibility Prognosis System for construction sites. The system employs state-of-the-art computer vision techniques and machine learning algorithms to automatically detect and recognize safety gear worn by workers in real-time. The system is designed to analyze video footage captured by surveillance cameras installed at strategic locations across the construction site.
License
This work is licensed under a Creative
Commons
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Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Mrs. Shwetha K R | AMC ENGINEERING COLLEGE |
| 2 | Mohammed Fardeen | AMC ENGINEERING COLLEGE |
| 3 | Mohammed Rashdan Qureshi | AMC ENGINEERING COLLEGE |
| 4 | Lameez Fathima | AMC ENGINEERING COLLEGE |
| 5 | Shahid A | AMC ENGINEERING COLLEGE |
How to Cite
Use the following formats to cite this article in your research.
APA Style
R, Mrs. Shwetha K, Fardeen, Mohammed, Qureshi, Mohammed Rashdan, Fathima, Lameez, & A, Shahid (2023). SAFETY GEAR DETECTION AND INSURANCE ELIGIBILTY PROGNOSIS SYSTEM. International Journal of Advance Research and Innovative Ideas In Education, 9(3), 1940-1947.
MLA Style
R, Mrs. Shwetha K, et al. "SAFETY GEAR DETECTION AND INSURANCE ELIGIBILTY PROGNOSIS SYSTEM." International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 3, 2023, pp. 1940-1947.
IEEE Style
Mrs. Shwetha K R, Mohammed Fardeen, Mohammed Rashdan Qureshi, Lameez Fathima, and Shahid A, "SAFETY GEAR DETECTION AND INSURANCE ELIGIBILTY PROGNOSIS SYSTEM," International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 3, pp. 1940-1947, 2023.
Vancouver Style
R Mrs. Shwetha K, Fardeen Mohammed, Qureshi Mohammed Rashdan, Fathima Lameez, A Shahid. SAFETY GEAR DETECTION AND INSURANCE ELIGIBILTY PROGNOSIS SYSTEM. International Journal of Advance Research and Innovative Ideas In Education. 2023;9(3):1940-1947.
Harvard Style
R, Mrs. Shwetha K, Fardeen, Mohammed, Qureshi, Mohammed Rashdan, Fathima, Lameez, & A, Shahid (2023) 'SAFETY GEAR DETECTION AND INSURANCE ELIGIBILTY PROGNOSIS SYSTEM', International Journal of Advance Research and Innovative Ideas In Education, 9(3), pp. 1940-1947.
Chicago Style
R, Mrs. Shwetha K, et al. "SAFETY GEAR DETECTION AND INSURANCE ELIGIBILTY PROGNOSIS SYSTEM." International Journal of Advance Research and Innovative Ideas In Education 9, no. 3 (2023): 1940-1947.
Turabian Style
R, Mrs. Shwetha K, et al. "SAFETY GEAR DETECTION AND INSURANCE ELIGIBILTY PROGNOSIS SYSTEM." International Journal of Advance Research and Innovative Ideas In Education 9, no. 3 (2023): 1940-1947.
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