Picoscope LiDAR visualizer

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Detailed Project Description

Picoscope LiDAR visualizer is an embedded-systems build that integrates sensors, actuators, a microcontroller and firmware into one working device, with the design decisions and test results documented so it can be reproduced.

How It Works
1. Input devices (sensors, buttons, encoders, wireless links) are connected to the microcontroller.
2. Firmware samples the inputs at a fixed rate and runs the control/processing logic (often with interrupts, timers or PIO for precise timing).
3. Outputs (motors, LEDs, displays, audio, radio) are driven according to the result.
4. The system is tested against its specification and tuned for reliability and responsiveness.

Key Components and Their Role
- RP2040: dual-core Cortex-M0+ microcontroller with programmable I/O used for precise, low-level timing.
- LiDAR: laser range sensor used to map the surroundings.

Implementation Steps
1. Collect the components and study each module's datasheet (pin-out, voltage, interface).
2. Wire the circuit on a breadboard following the pin mapping; power sensors from the correct rail (3.3 V / 5 V).
3. Install C, Arduino IDE and the required libraries; flash a minimal test sketch for each module separately.
4. Write the main firmware: read sensors → process → drive outputs / send data.
5. Configure network or cloud credentials and test communication end-to-end.
6. Calibrate thresholds, add error handling (reconnect, sensor time-out) and run a long-duration test.
7. Finalise on a PCB / enclosure and document wiring, code and results.

Key Features
- Real-time firmware
- Custom hardware integration
- Measured performance
- Documented design and trade-offs

Expected Output
On completion the student will have a demonstrable device that meets its functional specification, with wiring diagram, code and results.

Deliverables
- Complete source code with comments
- Circuit diagram and pin mapping
- Project report with screenshots and results
- Demonstration-ready build