Non-Contact Driver Drowsiness Detect System Research Paper

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Introduction

The Non-contact Driver Drowsiness Detect System is a product which can be embedded within the structure of a car to measure the level of drowsiness of a driver. The sensing gadget basically checks for important physiological signals, such as electrocardiography, electroenceophalography, rate of breathing, and blinking of the eye with an objective of recognizing drowsiness and give warning to a driver (Dinges, 2001).

Feasibility Study

Desirability

There is a need for the Non-contact Driver Drowsiness Detect System within the marketplace currently. Accidents that occur on the roads result from fatigue. Moreover, there have been suggestions to use the detection system, but none has been produced for selling purposes. The knowledge that it has not been produced for selling is enough to reason why the product should enter into the market to serve a need among many car owners. The market has a lot of potential clients who will not waste time thinking about buying the product. The clients that will definitely be interested in having this product include commuter service companies, individual car owners, and long distance transport companies, among many other groups.

The idea of the detection system makes sense since it will assist to reduce the number of accidents that result from drowsiness. Research suggests that most of the drivers who cause accidents because of sleep-related issues are young drivers who are below the age of 25 as well as long-distance drivers (Federal Highway Administration, 1998). There is a need for these groups to have detection systems placed within their vehicles to avert any dangers. The excitement likely to occur as a result of the production of this detector system cannot be measured. Many drivers will be happy that there is a system that will solve a problem that they probably face on a daily basis.

The product idea also responds to a very important environmental trend. It will assist drivers in leading healthier lives. For instance, when the detection system sends a signal that a driver is fatigued and drowsy, the healthier choice would be to stop driving and have another driver take control of the vehicle. This means that when a person is tired, he/she should take a rest immediately. This eventually ensures that accidents do not occur on the roads as a result of drowsiness. There is a serious problem that will be eradicated with the use of the Non-contact Driver Detection System. People will not have to lose their lives anymore because a tired driver was keen on reaching the vehicle’s destination. Companies will be obliged to invest in the detection systems as well as employ two drivers per vehicle to replace each other when fatigue sets in (Sun, 2011).

The entry of the product into the marketplace is well timed and will fill a market gap. Although the detection systems have been studied and even tested, they have not been produced for selling yet. Therefore, the business stands to enjoy the first mover advantage in the market. This may be used in future as a competitive strategy aimed at introducing a monopoly within the marketplace. It is the perfect timing to venture into the business as there is a definite need for the detection systems. There are no flaws within the product design that could cause any problems.

Concept Testing

Summary

The Non-contact Driver Detect System is a product designed to sense the drowsiness levels of drivers and send alerts immediately. Its features include a fragile sensor electronics model and bioelectrical signals which measure electrocardiography, breathing, and blinking of the eye. The range of target markets for this product is wide. Commuter services companies, long distance travel companies, schools, and individuals are among the consumers who will benefit once the product is rolled out into the market. This product solves the need to increase driver attentiveness, while on the steering wheel. The value added is that any time a driver shows signs of drowsiness, an alert system will warn him and he will remain awake. The problem solved through the use of this product is that accidents will no longer occur because of a driver falling asleep.

This product will be positioned within the target markets. All auto spare shops in the country will have the system in their stores. Whenever any client needs to purchase the product, finding it will be easy. Pricing will be done relative to the cost of production. Therefore, for each product, the price will be scaled appropriately to ensure that there is a return on investment made. The management team is made up of five individuals who have sufficient business expertise in different business fields. Three of the managers have MIS experience while the other two have finance experience. Fatima is an ex HR manager.

Demand

Survey

  • Question one: Do you believe the Non-Contact Driver Drowsiness Detect System will reduce the number of accidents in Saudi Arabia?
  • Question two: Would you install the Non-Contact Driver Drowsiness Detect System in your car?
  • Question three: What are your thoughts on the importance of installing the Non-Contact Driver Drowsiness Detect Sytem on every car in Saudi Arabia?

Analysis

Based on the survey questions, we were able to determine that there was a gap in the market. Responses were affirmative. The product is needed within the market.

References

Dinges, F. (2001). Managing Fatigue by Drowsiness Detection: Can Technological Promises be Realized? Bristol, PA: Taylor & Francis.

Federal Highway Administration. (1998). Crash Problem Size Assessment: Large Truck Crashes Related Primarily to Driver Fatigue. Washington, D.C: Heign Press.

Sun, Y. (2011). An Innovative Physiological Signal Monitoring System for Driving Fatigue Detection. Washington, DC: Heign Press.

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Reference

IvyPanda. (2022, January 28). Non-Contact Driver Drowsiness Detect System. https://ivypanda.com/essays/non-contact-driver-drowsiness-detect-system/

Work Cited

"Non-Contact Driver Drowsiness Detect System." IvyPanda, 28 Jan. 2022, ivypanda.com/essays/non-contact-driver-drowsiness-detect-system/.

References

IvyPanda. (2022) 'Non-Contact Driver Drowsiness Detect System'. 28 January.

References

IvyPanda. 2022. "Non-Contact Driver Drowsiness Detect System." January 28, 2022. https://ivypanda.com/essays/non-contact-driver-drowsiness-detect-system/.

1. IvyPanda. "Non-Contact Driver Drowsiness Detect System." January 28, 2022. https://ivypanda.com/essays/non-contact-driver-drowsiness-detect-system/.


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IvyPanda. "Non-Contact Driver Drowsiness Detect System." January 28, 2022. https://ivypanda.com/essays/non-contact-driver-drowsiness-detect-system/.

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