| Drowsiness detection and vehicle safety system for monitoring driver eye movements and facial expressions, has audio-visual alert system consisting of high-intensity LEDs and warning buzzer, where system activates haptic feedback through vibration motor when drowsiness is detected to alert driver | |
| 2025-03-24 | |
| 专利权人 | ARUNACHALA ENG WOMEN COLLEGE (ARUN-Non-standard) |
| 申请日期 | 2025-03-24 |
| 专利号 | IN202541026928-A |
| 成果简介 | NOVELTY - The system has an audio-visual alert system consisting of high-intensity LEDs and a warning buzzer that is triggered upon drowsiness detection. A specific frequency sound generator enhances driver wakefulness and focus. The system automatically engages a vehicle's braking system through a wired or wireless interface if a driver remains unresponsive. Parking lights are activated to signal surrounding vehicles when the vehicle slows down or stops due to detection. An artificial intelligence (AI) processing unit analyzes real-time data and continuously improves detection accuracy using machine learning algorithms. The device operates within a voltage range of 7 volt (V)-20V and is compatible with most vehicles. A microcontroller-based AI processing unit ensures cost-effectiveness by utilizing a microcontroller. The system activates haptic feedback through a vibration motor when drowsiness is detected to alert the driver. USE - Smart, AI-powered blinksafe drowsiness detection and vehicle safety system for continuously monitoring driver's eye movements and facial expressions using infrared sensors. ADVANTAGE - The system ensures efficient edge Al computing, thus enabling fast decision-making and maintaining low power consumption. The Al model continuously adapts to the driver's behavior, thus improving accuracy over time and enhancing overall road safety. The system ensures rapid response while maintaining power efficiency. The system offers a reliable, user-friendly solution to enhance road safety and reduce drowsy driving incidents. DESCRIPTION OF DRAWING(S) - The drawing shows a block diagram of AI-powered blinksafe drowsiness detection and vehicle safety system. |
| IPC 分类号 | A61B-005/00 ; A61B-005/18 ; G06F-003/01 ; G06N-020/00 ; G08B-021/06 |
| 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/13550 |
| 专题 | 中国科学院新疆生态与地理研究所 |
| 作者单位 | ARUNACHALA ENG WOMEN COLLEGE (ARUN-Non-standard) |
| 推荐引用方式 GB/T 7714 | ANUSHA A,ANISHA R,SASIKALA T J,et al. Drowsiness detection and vehicle safety system for monitoring driver eye movements and facial expressions, has audio-visual alert system consisting of high-intensity LEDs and warning buzzer, where system activates haptic feedback through vibration motor when drowsiness is detected to alert driver. IN202541026928-A[P]. 2025. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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