Samvedan 2021 - TEAM MECHATRONICS

Documentation hosted on sony.anshumanfauzdar.me

Engineering guidelines to be followed:

Guidelines to be followed for this project:

• KISS - Keep it stupid simple.
• No extra features until and unless it is a bug.
• Revisit official documentation in case of no results found on google or forums.
• Create safe fallback features and try to re-create until and unless it is a bug.
• In case of creative block discuss with team ASAP.

Promised Features:

• Camera Monitoring - Images only
• Microphone - noise detection
• WiFi connectivity - ESP8266/32

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For predictive maintenance:

• Temperature sensor - real time data
• Speakers - for notifications
• HMI - for displaying data
• Modular structure - 3D printed + aluminum extrusion structure
• Server - cloud implementation

Development lifecycle

All the software, CAD, electronics development will be done with git and uploaded here to GitHub

1. Create a branch off of master:

Only in case of working on new feature not aligned with master branch. Name the branch with your first name pre-pended [do not create unnecessary branches]: spresense/cool-feature

2. Writing Code:

GitHub upload instructions:

• Standard PR should be made to merge features with log including changes and bug fixes.
• To make standard changes follow engineering guidelines.
• For making revision of CAD models mention version ex. Mount_v2.0.1

3. Submit for review:

• Assign the task to the appropriate reviewer.
• Once tested and approved from all team members PR will be merged.

Software Architecture

  graph TD;
    A[Start Software] --> B{{Check Internet Connection}};
    B --> C(connected to internet);
    B --> E(Not connected to internet);
    C --> D(update to latest dataset and firmware);
    E --> F(use local dataset and firmware edgeML);
    D --> G;
    F --> G{{Data acquisition from camera and microphone/vibration/temperature sensors}};
    G --> H(Image/video data in realtime)
    G --> I(Microphone/vibration/temperature sensor real time data)
    H --> J(Monitoring with ML and AI on Edge)
    I --> K(Monitoring with noise filtering and AI/ML on the edge)
    J --> L;
    K --> L{{Leakage, excess, noise/vibration, wrong part handling, heat etc. detected}}
    L -->|YES| M{{Notify nearest production line worker and visual/audio notifications}}
    M -->|Yes| N[\Action Taken\]
    M -->|No| O[\No action taken after certain time\]
    O --> P{{MACHINE AUTO TURN OFF and notify all}}
    P --> Q[\Acquire data and improve detection dataset\]
    Q --> R[Repeat Process]
    N --> R

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Road Map

• [⚠️ VERY IMPORTANT ⚠️] Burning Bootloader
• [⚠️ VERY IMPORTANT ⚠️] Setting up camera
• Wi-Fi Connection - ESP8266
• Try Examples - Wi-Fi functionality only
• Try multicore functionality
• Attach microphone and temperature sensors
• Deploy to edge impulse
• Initial image detection
• Noise detection
• Temperature variation detection
• Mix all the detection in single application
• Make webserver to show all data