ARTY

Automated Rescue Transportation Yunit

Saving Lives One Wave At A Time

1 / 10

Our Unit

2 / 10

Side View

3 / 10

Motors

4 / 10

3D Modeling

5 / 10

3D Modeling Full View

6 / 10

System Design

7 / 10

Circuit Schematic

8 / 10

PCB Design

9 / 10

Final Prototype

10 / 10

Dry Box View

Team Members:

Rodrigo Jordao

Electrical Engineering
Rong Zheng

Computer Engineering
Dylan Taylor

Computer Science
John Tarakmi

Electrical Engineering

Instructor: Dr. Hari Kalva

Introduction

The Automated Rescue Transportation Yunit (ARTY), is a human sized device, is designed to be used as a quick field response transportation for helpless victims in distress, and in need of an auxiliary rescue.

Specification

Requirement

1. ARTY is waterproof

2. Able to support up to 120 lbs

3. Consistent speed with/without weight (2-3ft/s)

4. Camera stream with A.I. (20 fps)

5. Wireless control

6. Battery life ± 2 hrs

Artificial Intelligence (A.I.)

The A.I. model is based on the YOLO object detection model. Evaluation model was setup to be hosted on Raspberry Pi and takes in a live video stream from the built-in camera.

The stream is passed through the evaluation model frame by frame and boundary boxes are drawn around objects that are accurately detected.

Programming

Results

ARTY went through two main testing phases. The first phase consisted of testing the battery capsules by submerging them in an aquarium to test for water infiltration. The second test involved the full prototype and was tested in a nearby pool. During the pool testing phase, ARTY achieved 2.5 ft/s.