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Lynx-30: Simulation-Driven Low-Power Long-Range Camera Trap System
Overview
Lynx-30 is a low-power wireless camera trap system designed around the ESP32-CAM module. The system combines motion detection, infrared illumination, and efficient power management to provide battery-powered image capture for wildlife monitoring and remote sensing applications.
The project was developed using a modular hierarchical design approach and includes complete schematic capture, PCB layout, BOM generation, and manufacturing-ready Gerber files.
Features
System Architecture
Battery ↓ TPS63060 Buck-Boost Converter ↓ V_SYS_5V ├── ESP32-CAM ├── IR Illumination └── LDO Regulator ↓ V_SYS_3V3 ├── PIR Sensor └── Control Logic
Hardware Components
Main Controller
Power Management
Motion Detection
Illumination
Interfaces
Power Architecture
The system uses a TPS63060 high-efficiency buck-boost converter to generate a regulated 5V rail from battery input.
The 5V rail supplies:
A secondary LDO regulator generates a 3.3V rail for:
PCB Stackup
2-Layer Version
4-Layer Version
Design Tools
Project Structure
Lynx-30-Camera-Trap │ ├── Documentation │ ├── Project_Report.pdf │ ├── System_Architecture.pdf │ └── Design_Notes.pdf │ ├── KiCad │ ├── Schematics │ ├── PCB │ └── Libraries │ ├── Gerbers │ ├── BOM │ └── BOM.csv │ ├── Images │ ├── PCB_Top.png │ ├── PCB_Bottom.png │ ├── PCB_3D.png │ └── System_Block_Diagram.png │ └── README.md
Deliverables
* Complete hierarchical schematic
* PCB layout
* BOM (Bill of Materials)
* Gerber files
* Pick-and-place files
* PCB 3D render images
* Engineering documentation
Future Improvements
* Deep sleep optimization
* Solar charging capability
* Machine learning-based object detection
* Cloud connectivity
* LoRa communication support
* Environmental sensors integration
Applications
* Wildlife monitoring
* Security surveillance
* Remote sensing
* Smart agriculture
* IoT edge devices
Author
Engr Umer Mohammed**
Electrical and Computer Engineer
Specialization: Power Engineering
Designed using professional PCB design practices with a focus on low-power embedded systems and manufacturable hardware.
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