Description:FIELD OF THE INVENTION

Our Invention is related to a development of prediction model for Drunken Drive Detection on automobiles by using Sensor based technology advancing with Facial or Iris recognition.

BACKGROUND OF THE INVENTION

Over the years, as the world's population has grown and cultures have become more globally interconnected, drunken driving accidents and fatalities have increased. Artificial intelligence (AI) has become an emblem of modern technology in the industrial sector. With the use of sophisticated systems, the vehicle industry's growth addresses issues related to luxury and driver safety along with the passengers.
The demand for various activities such as detecting drunk drivers, preventing drunk driving fatalities and accidents by automatically turning the ignition on or off based on the status of the driver, sending alerts and location updates to necessary contacts, and safety-related reasons, has increased. In order to provide a framework for choosing the most effective techniques for advancing future breakthroughs related to AI and the automotive industry, this article evaluates those many applications and compares their benefits, drawbacks, and formulations. Additionally, the combination of this system with other devices like smart steering, automatic driver counting, and other vehicles results in a complete elimination of drunken driving-related accidents and fatalities.
Sensors is one of a simple electronic device, making wonders on every smart device such as Fast tags using IR sensors, fire alarms using Fire sensors, thermometers using heat sensors and so on. Still on advancing of human lifestyle day by day would like to expect smart work with high accuracy, to meet this challenge Automation comes to the frame using iris-reorganization or facial recognition.
The gaming industry, weather forecasting, heavy industry process industry, food industry, medical industry, data mining, stem cells, and knowledge representation are among the areas that have been utilizing AI methods. AI has a variety of algorithms to choose from such as reinforcement learning, expert system, fuzzy logic (FL), swarm intelligence, Turing test, cognitive science, artificial neural network (ANN), and logic programming. The alluring performance of AI has made it the most favorable tool to apply in industries including decision making and process estimation aiming at overall cost reduction, quality enhancement, and profitability improvement.

There exist many methods to detect the drunken driver detection; one of the primary and straightforward approaches is a high-cost police effort process. The automation technology is one of the accurate testing processes on drunken drives, which is most preferable and novel process for detecting the process by using sensor technology and automation process.

As the population in the world is rising, globalization on culture demand is predicted to rise up to 98% by 2050. Thus, to cater for this drunken driver deaths, Automation have been applied such as in management of the checking’s of drunken drive, strict rules, public awareness and proper industrial hygiene. The stimulating, luxurious and inefficient, necessitates an extremely specialized process, experimentation complaint and enormous use of produce defense products. In current development in Artificial of Intelligence, Machine of Learning and Vision of Automobile machineries consent emerging the iris or face gustier based human status reorganization techniques using neural network method.

These methods container professionally and precisely notice driver status before starting ignition of a vehicle in a momentary time deprived of humanoid involvement. The situation has been experiential that has been the maximum protuberant practice in automobiles. The situation assistances to variety considerable efforts to progress, regulator and augment industrialized manufacture.

In the past periods, numerous methods have been unindustrialized to perceive greenery sicknesses in numerous crops. The maximum of the methods, topographies remained removed by the image dispensation methods, formerly mined structures stayed nurtured to a organization technique.

Being a huge field with numerous applications, AI is likewise perhaps the most confounded innovations to chip away at. Machines characteristically are not more brilliant; a great deal of registering force and information are needed to engage them to reproduce human reasoning. A bunch of innovative and logical advances have prompted the development in the utilization of AI in genuine applications in different fields because of the huge increment of information with high computational force and huge stockpiling to enable them to reproduce human reasoning.

The variety of any perfect can be noticeable as respectable after it is verified on unnoticed data. Additional problematic is that the existing approaches consume a low junction rapidity due to the massive number of trainable limitations, and accurateness needs to be enhanced.

Lastly problematic in the nonfiction is the non-availability of the manual division method. That investigation is showed to determination the overhead investigation openings.

OBJECTIVES OF THE INVENTION

1) The objective of the invention is to provide Automobile industries are moving quick utilizing innovation for activities and calculated efficiencies and onto how to meet user’s requirements. The prominent players in the industry have embraced accidents due to increasing drunken driving, to make zero drunken driver deaths implementation of proposed project to maintain strong empathy with their audience.
2) Rarely, has a crisis pushed the adoption of a technology in the transportation. The business of automobiles and selling high-secured vehicle to consumers is being disrupted to a degree that has not been seen since the last pandemic, which occurred over a century ago.
3) By using the technology of artificial intelligence robotics, the automobile sector would need to increase its productivity by about 70%. To successfully achieve this, in proposed Figure 1, the robotic technology will need to be a core unit to secure the quality of customer life in the automobile industry. In addition to this AI has a vital role to play in future transportation with zero drunken driven accidents or deaths.
4) The main aim of drunken detection is to zero drunken drive deaths and accidents. The detection and segmentation play a vital role in this invention as it divides the input data into certain parts and then we can easily detect the quality of the given input dataset.
5) Driver stability must be present at all times to exist the availability, access, and utilization of the secured driving is fourth dimension highlights the importance to reduce the possibility of adverse effects on the other three dimensions.
6) Real time implementation of this projects not only makes a impact on Automobile industry, as well traffic and security under government law as well.
SUMMARY OF THE INVENTION

We invented at how automation has entered the automobile business and how it has affected the life security assurance on drunken drive issue. This review article will look at several AI technologies that have been utilized to provide high-quality products to customers. As people have gained knowledge over the years, their requirements have increased and to fulfill them who automation is being brought into the picture will be clear through this invention.

Automation works more efficient as compared to a human when it comes to specification and uniformity. On current scenarios right from formation rural and urban areas, everything is being closely monitored by the few Associates and to ensure this Automation has been brought into the scenario and improves a lot by increasing efficiency and provides advancement from the roots with security with a minimal manpower. Street light operation is an example. The proposed architecture consists of one microcontroller operation with alcohol senor: two main blocks one is security, other is communication and monitoring.

We began by observing a drastic change in growth of technology and culture on our Nation; put the technology growth to provide a protection and comfort to human life on this culture advancement. Automobile sector now expanded to electrical stream and huge companies that generate tons of different spare parts every day. With this proposed architecture security of designing any automobiles sector influences and seriously need on the current scenario which surely makes zero drunken-drive deaths and accidents by implementing the proposed architecture.
Proposed innovation performance measures for the proposed AI and ML architecture on the datasets with/without the augmentation process, clearly showing that the performance measure results are better on the augmented dataset in terms of the achieved accuracies for measure for status of driver before staring vehicle. The adopted AI and ML techniques increased the accurate the quality measurement, and finally, helped the model achieve better performance metrics and improved its overall testing accuracy. This revolution makes a mark on automobiles as well police and government sector to relax on the day to day and weekend drunken driver tests and check posts, use their valuable time on other crime activities.

This innovation would be every heart-warming that the parent or any customer could provide better and safe drive under optimal growth factors. Further companies have already begun to research how they can apply this feature of automation technology to better suit the public.

BRIEF DESCRIPTION OF THE DIAGRAM

Fig.1: The complete process architecture of the Designing drunken drive device.

Fig.2: Work Flow of proposed system

Fig.3: System implementation.

DESCRIPTION OF THE INVENTION

To approve this study conducted numerous experimental trials before proposing the following architecture. While similar experiments have been conducted in previous studies, the resulting test accuracy was unacceptable. Therefore, there was a need to design a new architecture and techniques to improve the results and get accurate results. Figure 2 and 3 shows simple view of the proposed architecture for the proposed Al and ML methods for better quality drunken driver detection.

The proposed Al and ML structure which consists of four layers, including two convolution layers for feature extraction, with convolution window sizes of Artificial Intelligence in drunken driver detection.

Modern applications of artificial intelligence in the whole sector include achieving significant reductions in the downtime, reducing consumer friction at the point of sale, speed up of manual tasks, and improving worker overtime ratio to name a few.
Some of the researchers have been done research on alcohol detection. Some of the authors proposed methodologies as mentioned, existing designs describes alcohol detection for vehicle by using AT89S51 microcontroller and MQ-3 sensor for alcohol detection as main component. To alert the person we use Buzzer as an alerting device.

The proposed architecture acquires advancement to the current innovation the vehicles and furthermore improves the security highlights, consequently demonstrating to be a strong development in the core organization. Our proposed work contains extraordinary models that make up process: power provide unit, the MQ3 detection unit, CC digital cam, the System locking unit, startup approach, monitoring, alarm unit and indication.

The hardware equipment’s assembled in this system are Power Supply, Raspberry Pi, Camera Module, GSM, GPS, Motor Driver, DC Motor, LCD, Buzzer and Led’s which interfaces with a software. The software tool used is Embedded Linux.

The system distinguishes the presence of liquor and security of ignition of the Car and swiftly locks the motor of the auto. Inside the equal time at SMS alongside the area of the automobile is sent to three pre-chosen contacts. As a result, the technique lessens the theft and quantum of street accidents, fatalities because of alcoholic utilizing in the future. A viable association is given to build up the wise process for car swap will reveal uncommon parameters of the car within the core of consistent time interval and may ship this advantage to the base unit. The proposed strategy would whole the abilities of speaking with the base station by the use of GSM and manipulate of one in every of a style parameters. The whole manipulates procedure has the improvement of little quantity and high reliability. The future extent of this system is to control the accidents and giving priceless details concerning the unintended automobile, hence diminishing the cost of accidents taking situation seeing that of drunken driving.

This manner furthermore integral to look at the security from robbery, ignition, gasoline stage of the automobile, Rain detection and a few protections indication with the aid of way of using outdoor males and females by the usage of unwanted touching while parking the automobile. A liquid crystal show display is probably equipped within the vehicle to transport approximately as a indicator to the reason pressure in conjunction with all people inside the car. DC motor is utilized the auto motor to expose the concept of motor locking system. The Raspberry Pi 3B version microcontroller (see Fig. 3). The organizational set up of Raspberry Pi can be applied to continue shopping for output from alcohol sensor and digital camera module. Additionally, the strategy checks out up to now as viable, then the sensor likely instantaneous the processor in regards to an appropriate voltage. Due to this reality the technique will thus discontinue the engine and it ships message to the users. The Linux operating system which is the ecosystem for writing laptop applications is utilized to write down the code, gather, create hex record and load to the controller.
, C , Claims:1) The proposed architecture for a vehicle control system based on drunken driver detection is presented in our innovation. This suggested architecture aims to give those who use cars are any other vehicles, as a luxury, source of entertainment, or for a practical requirement, life security.
2) The Aspects of general technical and economic importance to consider when evaluating transportation and safety improvements on drunken driving.
3) This innovation embedded with advanced technology for safety of driver and passengers with growth focus on the vehicles.
4) The novelty of this innovation is providing safety of driver without interrupting privacy of passengers at various stages.
5) The impact of automobile industry scale on additional expenses associated with implementation of this innovation the security improvement and their distribution throughout various stages of the supply chain.
6) The proposed architecture depends on 3 stages, including two main convolutional layers for feature extraction with different convolution window sizes followed by two fully connected layers for classification.
7) According to claim1, 2# the invention is to expansion processes were applied to increase the number objects from 1 to 20 which led to a significant improvement in the overall testing accuracy. The proposed architecture achieved an overall mean testing accuracy of 94%. More than 10 performance metrics were applied in this innovation to ensure the accuracy and validity of the expected results.
8) According to claim1,2,3# the invention is to the focus on standard alcohol status of driving person before starting a vehicle; this problem was also addressed in. The presented architecture is a combination of device testing senor technology along with iris reorganization.
9) According to claim1, 2, 3# the invention implementation makes zero drunken driver deaths and accidents with any drunken driver tests manually.