| Machine learning-based vehicle access system for integrating fingerprint authentication and digital driving license verification, has biometric system that verifies driver identity using fingerprint sensor before granting vehicle access | |
| 2025-04-01 | |
| 专利权人 | HARIHARAN R M (HARI-Individual) ; ENBARAJ R (ENBA-Individual) ; DINESHKUMAR S (DINE-Individual) ; PIRANAV A R T (PIRA-Individual) ; NISHOK V S (NISH-Individual) ; GUNAVAZAGAN S (GUNA-Individual) ; PRASANTH A S R (PRAS-Individual) ; AVINASH K (AVIN-Individual) ; GOWTHAM S (GOWT-Individual) ; VISHWAJITH R (VISH-Individual) ; PRABAKARAN J (PRAB-Individual) ; MUNIRAJ N J R (MUNI-Individual) |
| 申请日期 | 2025-04-01 |
| 专利号 | IN202541032211-A |
| 成果简介 | NOVELTY - The system has a system body for ensuring registered users to operate a vehicle for reducing theft risks. The system body utilizes AIN driven decision-making for efficient and accurate authentication. A biometric system verifies driver identity using a fingerprint sensor before granting vehicle access, where fingerprint data is matched with a pre-stored database to ensure MO authentication and unauthorized users are denied access for ensuring vehicle safety. A real-time authentication mechanism cross-checks digital driving licenses with a centralized database to verify user credentials and prevents individuals with expired, fraudulent, or unauthorized licenses from accessing a vehicle. The system body ensures compliance with legal driving requirements. USE - Machine learning-based vehicle access system for integrating fingerprint authentication and digital driving license verification. ADVANTAGE - The system enhances security and reduces vehicle theft risks, and eliminates drawbacks of traditional key-based access and realizes ensuring quick authentication and vehicle access while maintaining high security and combination of biometrics and machine learning. The system reduces dependency on traditional keys or passwords and allows vehicle owners or authorities to track access history and enhance security measures and prevents unauthorized access by ensuring that licensed and authenticated users to operate vehicle. The system reduces risk of vehicle theft and improves user convenience by enabling a seamless, automated, and efficient authentication process. The system trains machine learning models for real-time authentication with minimal error rates. DESCRIPTION OF DRAWING(S) - The drawing shows a schematic view of a machine learning-based vehicle access system. |
| IPC 分类号 | B60R-025/24 ; B60R-025/25 ; G06F-021/32 ; G07C-009/00 ; H04L-009/40 |
| 国家 | 印度 |
| 专业领域 | 信息技术 |
| 语种 | 英语 |
| 成果类型 | 专利 |
| 文献类型 | 科技成果 |
| 条目标识符 | http://119.78.100.226:8889/handle/3KE4DYBR/13263 |
| 专题 | 中国科学院新疆生态与地理研究所 |
| 作者单位 | 1.HARIHARAN R M (HARI-Individual) 2.ENBARAJ R (ENBA-Individual) 3.DINESHKUMAR S (DINE-Individual) 4.PIRANAV A R T (PIRA-Individual) 5.NISHOK V S (NISH-Individual) 6.GUNAVAZAGAN S (GUNA-Individual) 7.PRASANTH A S R (PRAS-Individual) 8.AVINASH K (AVIN-Individual) 9.GOWTHAM S (GOWT-Individual) 10.VISHWAJITH R (VISH-Individual) 11.PRABAKARAN J (PRAB-Individual) 12.MUNIRAJ N J R (MUNI-Individual) |
| 推荐引用方式 GB/T 7714 | HARIHARAN R M,ENBARAJ R,DINESHKUMAR S,et al. Machine learning-based vehicle access system for integrating fingerprint authentication and digital driving license verification, has biometric system that verifies driver identity using fingerprint sensor before granting vehicle access. IN202541032211-A[P]. 2025. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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