Description:Field of the Invention
The Intelligent Vehicle Safety System with Drunk & Drive and Abuse Detectors falls within the field of Automotive Safety Systems. It uses cutting-edge technologies such as Sensor Integration, Image Processing, Navigation, and Machine Learning Algorithms to find cases of intoxicated driving and physical or sexual abuse in vehicles.
Objective of this invention

The primary objective of propounding the idea of the Detectors is to enhance road safety and passenger well-being. Vehicle Safety System is designed to aid police officers in taking action at the time of the crime (early stage - perhaps even before the crime takes place completely) without compromising the lives of victims. Consequently, the crime rate in the country will decrease and people will feel more safe.
Background of the Invention
Across the globe, road safety is a critical concern as Drunk-Driving and instances of abuse within vehicles pose significant threats to the lives of drivers, passengers, and pedestrians. The most common cause of road accidents is driving under the influence of alcohol, and physical abuse and sexual abuse within vehicles can result in severe physical and psychological damage.
Public awareness campaigns and law enforcement agencies have traditionally played a crucial role in reducing drunk driving incidents. However, these measures are limited in terms of their real-time effectiveness and prevention capabilities. In the same way, identifying and addressing instances of abuse within vehicles often requires individuals to report incidents after they occur, making proactive intervention difficult.
CN208664966U is associated with an alcohol concentration-detecting device mounted in a car's steering wheel. The alcohol concentration value in the driver's exhaled gas is detected by multiple contactless alcohol sensor MQ-3, then the signal of the alcohol sensor is converted by A/D, then the signal-chip microcontroller is inputted, and each sensor signal is then transmitted to the main controller by NRF905 radio transmitting and receiving chip.
Similarly, CN108790817A is a kind of intelligent drunk-driving prevention system, including the alcohol sensor, microprocessor, and automobile brake unit, the alcohol sensor installation is on the steering wheel, alcohol sensor is used to detect the alcoholic strength of the driver, and the microprocessor is for receiving the collected signal of the alcohol sensor and control automobile brake cell operation. A kind of intelligent drunk-driving prevention system provided by the invention can be in the case where the driver drinks and the automatic braking automobile makes the driver that cannot start and avoids the generation of the drunk driving phenomenon. The system can be applied to all automobiles, just install the system in production, to improve traffic safety, and prevent the generation of the drunk driving phenomenon.
SU9280145B2 discloses equipment, systems, and methods for recognizing an intoxicated driver of a vehicle and stopping vehicle operation. An air intake configured to take an air sample from a specified detection zone is included in one embodiment of an apparatus. An operator detection sensor detects the driver's presence inside a predefined detection zone. When an operator is spotted, the air intake is immediately activated by the operator detection sensor. A detector module includes a sensor that generates an electrical signal that represents a driver's blood alcohol concentration.
CN105667312A describes a vehicle-based intelligent drunk driving prevention and control system. The intelligent drunk driving prevention and control system is made up of three layers: perception, decision-making, and execution. An engine management system (EMS) and a GPS location module are part of the execution layer. When the drunk driving prevention and control system is activated via touch control mode, the driver is successfully prohibited from cheating, and drunk driving is accurately and efficiently prevented.
Summary of the Invention
In the case of the drunk driving detection feature, the Intelligent Vehicle Safety System automatically disables the vehicle's ignition when alcohol is detected beyond a certain threshold. This functionality aims to prevent alcohol-infused individuals from operating the vehicle and mitigate drunk driving risks.When the alcohol level sensors integrated into the system detect an alcohol concentration beyond the predetermined limit, the software algorithms process this information. If the alcohol level exceeds the defined threshold, the system triggers the ignition control mechanism to turn off the vehicle's ignition automatically. By disabling the ignition, the system ensures that the vehicle cannot be started or driven by an intoxicated individual.
To address abuse within vehicles, the system integrates audio and video monitoring systems. Cameras capture video footage of the vehicle's interior, while microphones record sound data. Image processing and audio processing algorithms are applied to analyse data in real-time. These algorithms detect indicators of physical or sexual abuse, such as distressed sounds, aggressive behaviour, or visual cues of violence. By monitoring audio and video data, the system can promptly detect and respond to abuse instances, ensuring vehicle occupant safety. In abuse situations, the system can generate alerts for immediate attention and contact authorities for necessary intervention.
Brief Description of Drawings
The invention will be described in detail with reference to the exemplary embodiments shown in the figures wherein:
Figure-1: Flow chart representing basic architecture and the work flow of the system
Detailed Description of the Invention
The model of the vehicle safety system is built to prevent road accidents and abuse. This system has two main significant operations: Drunk-Drive detection and Abuse detection.
Drunk-Drive Detection: This is made up of three major components: an alcohol sensor, a microcontroller, and a MEMS sensor. The MQ-3 alcohol sensor assesses whether the driver is inebriated, this is connected to steering wheel. MEMS sensors detect alcohol levels. Raspberry Pi is the central processing unit of the system which is used for ignition control mechanism and analytical tasks. While the alcohol level reaches the threshold level, i.e. 30 mg/100ml, the system analyses the data using software algorithms that evaluate factors like speed, steering behaviour, braking patterns, and lane deviations while processing the information. Machine learning technologies like decision trees and neural networks can be used to train the system on drunk driving trends and behaviours. As a result, ignition control is activated, which disables the vehicle's ignition. Technology constantly monitors drivers' alcohol concentrations.
Abuse Detection: The main components are a camera, microphone, processing unit, and GPS module. High-quality cameras need to be installed inside the vehicle to capture video footage of the interior. The microphone records audio data. NVIDIA Jetson Xavier is the central processing unit responsible for processing video and audio data, running Image Processing Algorithms and Audio Processing Algorithms. U-blox NEO-M8N GPS Module transmits vehicle location. This would be connected to NVIDIA over UART or USB. Initially, the system is trained to recognize the gesture. Through image processing algorithms the system can analyse and search for visuals indicating abuse such as aggressive gestures, physical violence, or distressed facial expressions. Simultaneously, it is trained to identify sensitive words, and high-voice tone frequency, so that by audio processing algorithms the system can analyse and identify distressed sounds, raised voices, or cries for help. These algorithms employ pattern recognition, behaviour analysis, and machine learning techniques to promptly detect and respond to abusive situations. If abuse is detected, the system generates an alert and contacts the nearest police station or authorities. It sends them the relevant video, audio, and live location using a GPS module. Communication protocols such as MQTT or HTTP can be employed to enable communication between the software components of the system. This will enable the transmission of control signals and data. All the data transmission will be encrypted to protect sensitive information.
Advantages of the proposed model,

By integrating alcohol level sensors and automatically disabling the vehicle's ignition when alcohol is detected beyond a certain threshold, the system effectively prevents alcohol-infused individuals from driving. This proactive approach reduces the risk of drunk driving accidents, protecting the driver and other road users.
The integration of audio and video monitoring systems enables the system to detect physical or sexual abuse within the vehicle in real-time. Through advanced image processing and audio analysis algorithms, indicators of abuse, such as distressed sounds, aggressive behaviour, or visual cues of violence, are promptly identified. Early detection facilitates timely intervention and ensures vehicle occupant safety.
When drunk driving or abuse is detected, the system generates real-time alerts within the vehicle. These alerts serve warn the driver and occupants, enabling them to understand the dangerous situation and take appropriate action. Additionally, the system can disable the ignition and limit vehicle speed, thereby mitigating risk and preventing further harm.
The system communicates with authorities or nearby police stations to report abuse instances. Along with real-time alerts, the system can transmit audio, video, and live location data to the authorities. Using this seamless communication system, relevant authorities are able to respond immediately and intervene as needed, ensuring that abuse incidents are resolved swiftly and appropriately.
This model contributes significantly to overall road safety by combining drunk driving detection and abuse. It acts as a preventive measure by discouraging impaired driving and promotes a secure and responsible driving environment. This will reduce the likelihood of accidents, injuries, and fatalities on the road.
The system prioritizes passenger security and well-being by actively detecting and addressing potential risks. By swiftly identifying abuse instances, passengers can receive timely assistance and support. Especially for children, the elderly, or individuals with disabilities, this promotes a safer and more comfortable travel experience.
The proposed model can be tailored to satisfy unique needs and restrictions. The system can be fine-tuned to conform with legal frameworks and protect individual privacy and consent, depending on regional laws and safety requirements. Because of the model's flexibility, it may be integrated into a variety of vehicle types, making it accessible and adaptable to a wide range of transportation scenarios.
5 Claims & 1 Figure , Claims:The scope of the invention is defined by the following claims:
Claims:
The following illustrates the exemplary embodiments of the invention and defines the scope of the invention:
1. The proposed model contains two main significant operations: Drunk-Drive detection and Abuse detection.
a) The MQ-3 alcohol sensor accesses whether the driver is inebriated, this is connected to steering wheel.
b) In Drunk & Drive Detection, Raspberry Pi is microcontroller which is used for ignition control mechanism and analytical tasks.
c) Machine learning technologies like decision trees and neural networks can be used to train the system on drunk driving trends and behaviours.
d) In Abuse Detection, NVIDIA Jetson Xavier is the central processing unit used for processing video and audio data, running Image Processing Algorithms and Audio Processing Algorithms.
e) The microcontroller feature high-performance GPUs and dedicated AI accelerators, enabling efficient processing of video and audio data. They also offer multiple connectivity options and support for popular AI frameworks like TensorFlow and PyTorch.
2. As per claim 1, the U-blox NEO-M8N GPS Module transmits vehicle location. This would be connected to NVIDIA over UART or USB. This GPS Module is well known for its accuracy and reliability.
3. As per claim 1, the audio Processing involves techniques such as signal processing, speech recognition, audio classification to identify abusive word or cries for help.
4. As per claim 1, the Image Processing involves techniques such as motion detection, object tracking, activity recognition to identify any kind of violent actions.
5. As per claim 1, the Jetson Xavier’s hardware architecture supports advanced AI frameworks and libraries, allowing for seamless integration of deep learning algorithms for image and audio analysis.