Sponsored by: Sensata Technologies
Project Summary
Sensata’s automotive dash-cameras automatically sense vibrations, harsh accelerations, and other common car conditions. This information is sent to the user by the dash camera for generating crash reports, receiving real time alerts, and other safety applications. Current camera testing involves human testers who can’t intentionally cause dangerous incidents that can produce high force data needed for camera validation. This makes testing not only unreliable but also inefficient and time-consuming. A new solution must be created to accurately and precisely test camera conditions to ensure product quality and testers’ safety.
Design Goal
Our design goal is to create a test rig that will consistently and safely test Sensata Technologies Owlcam Dash Camera.
Design Constraints
- Must fit on a standard desktop and have secure attachment points
- A minimum of 4gs of translational force produced
- Camera must be securely and rigidly connected to the test fixture
- Create REST APIs for control of Raspberry PI, data acquisition, and Motor Control
- Onboard accelerometer with data acquisition and logging capabilities
- There must be a safety enclosure around the entire system
Figure 1: Dash cam mounted to a belt driven linear actuator and powered by an electric motor.
Figure 2: Model of the Owlcam Dash camera
Members of the Project Team
Student Team:
- Renna Hintermeister - Major: Computer Engineering
- John Endris - Major: Electrical Engineering
- Max Zimmerman - Major: Mechanical Engineering
- Vanesa Montes de oca Correa - Major: Mechanical Engineering
Industry Representatives: JJustin Klassen, Nate Williams and Breon Nagy
Faculty Advisor: Surya Iyer
Pictured left to right: Renna Hintermeister, John Endris, Max Zimmerman, Vanesa Montes de oca Correa