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Kovai Phygital 作者: Mind Map: Kovai Phygital

1. Proposals

1.1. Jubilant Foodworks

1.1.1. Vehicle Tracker

1.1.1.1. GPS

1.1.1.2. BLE

1.1.1.3. Android App

1.1.1.4. Google Maps API

2. Capabilities

2.1. IoT

2.1.1. Electronics

2.1.1.1. Various Sensors

2.1.1.2. Custom PCB designing

2.1.2. Embedded programming

2.1.2.1. Microcontrollers

2.1.2.1.1. esp32

2.1.2.1.2. esp8266

2.1.2.1.3. arduino pro mini

2.1.2.1.4. stm microcontrollers

2.1.3. Wireless solutions

2.1.3.1. Bluetooth Low Energy

2.1.3.2. WiFi

2.1.3.3. Nrf24

2.2. Machine Learning

2.2.1. Classifiers

2.2.1.1. Gaussian Naive Bayes

2.2.2. Clustering

2.2.2.1. K-Means

2.2.2.2. Meanshift

2.2.3. Deep neural networks

2.2.3.1. FaceNet

2.2.3.2. Openface

2.3. Image processing

2.3.1. Face detection

2.3.2. Face recognition

2.3.3. Jevois - Smart machine vision camera

2.3.3.1. Edge computing

2.4. Cloud

2.4.1. Google cloud platform

2.5. Platforms

2.5.1. Home Assistant

2.5.2. MySensors

2.5.3. Amazon Echo

3. Workshops & Events

3.1. IoT community meetups

3.2. IoT workshops

3.2.1. @GHC

3.2.2. @Forge Factory

3.2.3. Rust workshop @TWcbe

3.3. Internships

3.3.1. Energy Monitoring

3.3.2. Access Control

3.3.3. Effluent Monitoring

4. Projects

4.1. Access Control

4.1.1. Home grown solution

4.1.2. Backend

4.1.2.1. Ruby on Rails

4.1.2.2. Active admin

4.1.2.3. Extensible message driven architecture

4.1.3. Door Lock

4.1.3.1. Custom hardware module

4.1.3.2. MQTT

4.2. Face Recognition

4.2.1. Identity

4.2.2. Stand alone tool

4.2.2.1. Can be used for any application

4.2.3. Event based

4.2.4. Live training

4.3. Connected Lights Automated Lights

4.3.1. Lights as API

4.3.2. Sensors

4.3.2.1. Human presence sensors

4.3.2.2. Temperature

4.3.2.3. Humidity

4.3.3. Smart integration

4.3.4. Costs and savings