Heads Up Glasses

Team 13

TA: Christine Wu

M-Shop Instructor: Izzy Lambobard

Problem Statement

Non-commercial drivers need a way to be alerted when drifting into sleep or distraction in order to avoid car accidents.

Drowsy driving: driving while sleepy or fatigued

Distracted driving: driving while not looking at the road

How big is this problem?

Distracted Driving


3,142 deaths


8% of all fatal crashes

caused on annual basis.

Drowsy Driving


6,000 deaths


50,000 injuries


91,000 crashes


$109B costs to society 

caused on annual basis.

Sources:

Drowsy driving data: CDC & National Highway Traffic Safety Administration

Distracted driving data: Insurance Information Institute

Users & Purchasers

Who are the users?


Non-commercial drivers


Ex: Students, Uber drivers

Who are the purchasers?

State of the Art

There are many innovations that all under three main types of drowsiness detection measures.


However, each of these innovations are incredibly expensive, meaning that most drivers have no protection against drowsy or distracted driving.

Source: https://encyclopedia.pub/entry/20784



Vehicle-based technology

Lane monitoring technology

Detects when car is drifting out of its lane using a camera and notifies driver through sound, visual, and/or vibration alerts


Limitations


Behavioral methods

Optalert driving glasses

Wearable glasses monitor drivers’ eye movement to detect drowsiness


Limitations


Maven Machines headset

Smart bluetooth headset measures head movements and mirror checks to monitor drivers’ alertness rates


Limitations

Physiological methods

SmartCap

Measures alertness and fatigue by analyzing brain activity (EEG) and delvers digital alerts



Limitations


Specifications

Based on user needs, we determined that cost, accuracy, and safety were the most important specifications and should be weighed 2x as heavily.

Prototypes

Initial Prototype

Idea: metal ball sits inside of a tube attached to the side of a pair of glasses. The metal ball would hit a sensor located at the front end of the tube when the user's head tilts forward and sound off an alarm.

Sketch of Initial Idea:

Video of Initial Prototype:

IMG_7097.mov

Working Prototype

After working with Prof. Truex, we learned about the tilt sensor which follows the same concept. We then began the circuitry process using the tilt sensor, an arduino, a buzzer as the alarm, a battery as the power source, and foam core to make our first working prototype for testing. 

Final Prototype: Works-Like

As we prototyped, we decided to create a glasses attachment instead of glasses as it would be cheaper to produce from a business stand-point and more customizable for users. 

After finalizing our works-like design, we created our prototype using Solid-Works and 3D printing. This prototype includes three parts: the box with clip attachment, a screw on lid, and a mounting plate which allows users to adjust the angle in which the sensor would be tilted at. Because everyone is a different height and may drive different cars, we used the mounting plate to make sure that it would be adjustable for our users for easy use. 


As shown in the demonstration video, when the driver is no longer looking ahead in their line of vision, the tilt sensor would send the signal for the alarm to go off. 

IMG_1472.MOV

Final Prototype: Looks-Like

Due to time constraints, there are ways in which we wanted to improve and add to our prototype but didn't have the time to build out. Therefore, we also created a "looks-like" prototype which is ultimately what the goal of our product would be.


Additional Features of "Looks-Like" Prototype



As seen on the right, the "looks-like" prototype would still work just like the "works-like" prototype above. 


IMG_1475.MOV

SolidWorks Sketch: Box

SolidWorks Sketch: Lid

Testing & User Feedback

Testing Plan

IMG_1394.mov

Testing Accuracy of Detecting Driver’s Line of Vision


Testing False Alarms for 4 different codes


Different sensor code we tested:




Blind Spot Checking

IMG_7135.MOV

100-Yard Deceleration

IMG_7129.mov

Blind Spot Test Data

Shows 1 second delay code to be the safest (meets our specification)

Deceleration Test Data

Shows 1 second delay code to be the safest (closest to our specification)

Testing Safety



Testing Ease of Use & Comfort




Calculating Expected Battery Life of Product


Future Considerations & Business Plan

Ethical Issues


Sustainability Approach 


Business Model Summary

Variable Costs

Fixed Costs 

Breakeven Sales Volume

Total Market Size = 37,707,958 (based on drivers who admit to texting and driving).

Next Steps

Reflections


Big Picture Takeaways


Skills

Acknowledgements

Special thanks to Prof. Vicki May, Izzy Lambobard and M-Shop Instructors, Prof. Tad Truex, Chris Vollmann and the Thayer Instrument Room, Christine and the TAs, and our classmates!