https://github.com/zanzythebar/w.a.r-hardware
Hardware Development for W.A.R
https://github.com/zanzythebar/w.a.r-hardware
Last synced: 7 months ago
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Hardware Development for W.A.R
- Host: GitHub
- URL: https://github.com/zanzythebar/w.a.r-hardware
- Owner: ZanzyTHEbar
- License: gpl-2.0
- Created: 2021-09-12T17:47:07.000Z (about 4 years ago)
- Default Branch: main
- Last Pushed: 2021-09-12T17:50:30.000Z (about 4 years ago)
- Last Synced: 2025-02-12T17:46:47.541Z (8 months ago)
- Language: Java
- Size: 3.17 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# 🔹🔹 Wifiu Assisted Reality 🔹 🔹
# W.A.R
This repo is dedicated to the **DIY** Android based *Augmented Reality Headset*.
# WHAT IS THIS PROJECT
Running on Android 8.1 with 4 cameras and an iTOF sensor, this headset will leverage ARCore and open source Deep Learning algorithms to provide a custom personal assistant Waifu.
W.A.R will come pre-installed to all headsets.
Developer access and an SDK are available upon request.
# Current Headset Concept image:
# Inspirations
https://hackaday.io/project/179843-low-cost-augmented-reality-vr-for-microcontroller
https://hackaday.com/2021/09/02/a-microcontroller-friendly-ar-headset-on-the-cheap/?fbclid=IwAR1XItgtUjLt92cfcjPFwVwjDEH6s6WtJNDr8hJExN8CSCi_0-b47x9F5A4
# BOM
You will need to purchase a few compents before you begin:
__*Materials for purchase*__
1. Orange Pi 4B - (https://orangepi.com/index.php?route=product/category&path=238_242 , http://www.orangepi.org/Orange%20Pi%204B/ , https://orangepi.com/index.php?route=product/product&product_id=880)
1. x2 18MP Camera Modules (remove filters for IR) x1 Stereo Binocular Camera (https://www.amazon.com/IMX219-83-Stereo-Binocular-Camera-Application/dp/B087P9VHJN/ref=sr_1_3?dchild=1&keywords=stereo+camera&qid=1630202995&s=electronics&sr=1-3)
2. Accelerometer Magnetometer (https://www.amazon.com/SparkFun-Breakout-ICM-20948-connection-Accelerometer-Magnetometer/dp/B07VNV3WKL/ref=sr_1_3?dchild=1&keywords=IMU&qid=1630202386&sr=8-3, https://www.sparkfun.com/products/15335)
3. GPS Module (https://www.amazon.com/dp/B07P8YMVNT?tag=gaming007a5-20&linkCode=osi&th=1&psc=1&keywords=Best%20Arduino%20GPS%20Modules)
4. 6" 2560x1440 display (https://www.amazon.com/Monitor-Printer-Projector-Display-2560x1440/dp/B0826YHTLM/ref=sr_1_4?dchild=1&keywords=6+inch+2k+LCD+display&qid=1630205512&s=electronics&sr=1-4)
5. TOF sensor (https://www.kiwi-electronics.nl/nl/adafruit-vl53l0x-time-of-flight-distance-sensor-30-to-1000mm-stemma-qt-2866)
__*AI datasheet*__
1. MediaPipe(Hands) https://google.github.io/mediapipe/solutions/hands.html
2. BlenderBot2 https://parl.ai/projects/blenderbot2/
3. Tesseract OCR (js) https://tesseract.projectnaptha.com/
4. YOLO v5 https://github.com/ultralytics/yolov5
5. ARcore (assoiated APIs) https://developers.google.com/ar/develop/java/quickstart
__*Materials for printing*__
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# Code
Our Code is closed-source with publically availble images located here:
# HOW TO ORDER PCBS
PCBS can be ordered from JLCPCB or PCBWay, or made yourself. The PCB files are still in prototype phase and i welcome any development ideas.
# HOW TO SETUP
Setup is very straight forward, thankfully.
__*SETUP*__
1. Acquire PCB and sensors.
2. Assemble per the schematics included in this repo
3. Plug the Orange Pi4B into your computer - and then
1. flash the custom Android image
2. transfer the built APK