Artificial passenger

ARTIFICIAL PASSENGER (A Sleep Preventing Car )

1. Artificial passenger

2. CONTENTS Abstract Introduction History Components Features Advantages Disadvantages Future usage of technology Conclusion

3. EXISTING SYSTEM Miniature System installed in driver’s hat Use of simulation Drinks Some tablets to prevent sleeping

4. introduction According to national survey in UK and USA , it is observed that the driver fatigue annually causes. 10000 crashes 1500 deaths 7100 injuries Majority of road accidents observed were caused by eye closure of half and even 2-3 seconds, where normal eye blinks at 0.2-0.3 seconds

5. Background of the invention In order to overcome disadvantages of existing methods IBM introduced a new sleep prevention technology device “ ARTIFICIAL PASSENGER ”. The name for the system was first suggested in an article in New scientist magazine This is designed to make solo journey more safer

6. Technology involved Artificial intelligence (AI) is the intelligence of machines and the branch of computer science " the study and design of intelligent agents “ An intelligent agent is a system that perceives its environment and takes actions that maximize its chances of success .

7. What is artificial passenger? This is an artificial intelligence based companion. Resident in software and chips embedded in the automobile dashboard.

8. What does it do? Detects alarm conditions through sensors Broadcast pre stored voice messages over the speakers Captures images of driver

9. Why such system? There are many accidents taking place daily To avoid there must be some communication between driver and vehicle This communication helps to prevent unfortunate things from happening So , artificial passenger is pathway to overcome such things

10. Features of artificial passenger

11. Workload manager These sensors in system: allow for the monitoring of driver actions (e.g. application of brakes, changing lanes) provide information about local events (e.g. heavy rain) provide information about driver characteristics (e.g. speaking speed, eyelid status).

12. Driver’s drowsiness prevention The invention suggests fighting drowsiness by detecting drowsiness via speech biometrics The purpose of Artificial Passenger is to provide a higher level of interaction with a driver than current media, such as CD players or radio stations

13. Conversational Telematics System takes care of every need Has enough intelligence to anticipate needs. Helps to perform certain actions within your car hands-free: turn on the radio switch stations make a cell phone call, and more Reports car conditions and external hazards Helps to stay awake with some form of entertainment when it detects driver is getting drowsy.

14. Improves speech recognition IBM’s Audio Visual Speech Recognition (AVSR) cuts through the noise. It reads lips for speech recognition. Cameras focused on the driver’s mouth do the lip reading; In places with moderate noise, speech recognition has a 1% error rate, the error rate of AVSR < 1%. In places roughly ten times noisier, speech recognition has about a 2% error rate but AVSR’s is 1%

15. Components of artificial passenger

16. architecture

17. CONVERSATIONAL PLANNER (CP) Heart of the system. CP holds the profile of the driver. Instruct the language generator to produce response. If the driver is in perfect condition CP instructs language processor to continue conversation otherwise it is instructed to change the conversation (un expected joke).

18. Eye tracker Eye-tracking hardware is either mounted on a user's head or mounted remotely. Both systems measure the corneal reflection of an infrared light emitting diode (LED), which illuminates and generates a reflection off the surface of the eye. This action causes the pupil to appear as a bright disk in contrast to the surrounding iris and creates a small glint underneath the pupil. It is this glint that head-mounted and remote systems use for calibration and tracking.

19. Alarm If CP receives an info that driver is about to Sleep then Alarm system is activated

20. microphone It pics up driver’s answer and breaks into separate words with speech recognition software

21. Embedded speech recognition device Driver can hear songs recorded in his mobile or any another devices using embedded speech recognition system

22. Camera Will track lip movements of driver Improves the accuracy of speech recognition

23. Mobile device indicator When driver gets a call , The system takes up the call by driver’s speech using speech recognition software Even by driver’s lip movement with the help of camera

24. Method for detecting driver vigilance comprises the following steps Detecting frequency of nodding and left to right rotations of the head within a selected time period of the driver with the camera. Determining frequency of eye blinking and eye closings of the driver within the selected time period with the camera. Determining frequency of yawning of the driver within the select period with the camera. Generating an alarm signal in real time if a frequency value of the number of the frequency of the up and down nodding, the left to right rotations, the eye blinking, the eye closings, the yawning exceed a threshold value

25. Advantages Broadly used to prevent accidents Component establishes interface with other drivers easily If drivers gets heart attack or he is drunk it will send signals to nearby drivers to make them alert

26. Disadvantages The system is expensive Installed only in high profile cars

27. APPLICATIONS OF ARTIFICIAL PASSENGER prevent accidents Used for entertainment such as telling jokes and asking questions. Automatically opens and close the window of car and answers a call for you. If a driver gets heart attack or he is drunk, it sends a signal to vehicles nearby so that there driver becomes alert. .

28. Contd …… Can be used in other situations where people must be alert Security guards Operators at nuclear plants Operators at manufacturing facilities Pilots of air planes

29. FUTURE TECHNOLOGY We can provide driver with a “shortest time” routing based on road conditions changing because of weather and traffic remote diagnostics of his/her car and cars on their route destination requirements and nearby incentives

30. conclusion Method for monitoring driver’s alertness Sufficient time to avert an accident. Monitoring of full facial occlusion of the driver.