After the first meeting with Professor Notash, the group began assembling documentation for the first round of proposal ideas. We also exchanged contact information and discussed ideas that we were considering or have already done research on.
Our group had discussions by phone and discord throughout the week regarding the information/revisions we made for each idea at the time. John shared the information he gathered regarding the Adjustable Membrane Absorber and Face Tracking Bomb Mic. Hunter discussed the information he gathered in regards to the Automatic Fabric Curtain Controller, Tired Driver Dashboard Sensor/Alarm, and discussed his thoughts of designing an RF Jammer for Drones and the information found regarding it, although more information still needs to be conducted for this design.
The group made the decision to create a shared suite of documents on Google Drive in order to collect and organize our ideas, time and effort, research, and drafts of future documents.
John
The block diagrams and flow charts for Adaptive Membrane Absorber and Face Tracking Boom Mic were developed:
Block Diagram for Adaptive Membrane Absorber:
Flowchart for Adaptive Membrane Absorber:
Obtaining accurate T/S parameters from the loudspeaker is essential to developing an accurate simulation of the electroacoustic system.
This video shows how the team can easily measure the t/s parameters of any prospective loudspeaker
Block Diagram/Flowchart for Face Tracking Boom Mic:
Brushless gimbal motors provide quite and precision operation.
A camera similar to the one shown is small and light enough for integration into a boom mic mount.
Hunter
Block and Flow Diagrams for
Automatic Fabric Curtain Controller:
Component research and development for the Automatic Fabric Curtain Controller.
Examined different types of motors and pulleys systems to control using a microcontroller, like a Raspberry Pi or Arduino.
Continued Project Research Development:
An RF Drone Jamming Defense System is being considered but more research is required before moving forward.
Another design being considered is one for detecting tired drivers using object detection with OpenCV’s software tool kit for the face and eyelids while applying sensors on the steering wheel for detecting grip pressure, where an alarm would go off to alert the driver and possibly a vibrator on driver seat for more effect. Source 3
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