Developing a Low-Cost Raspberry Pi-based Camera Trap for Wildlife Detection


Basic Introduction to the camera trap

Severe degradation of ecosystems has led to loss of biodiversity. There is a need to monitor and conserve the ecosystems. Data collection is crucial in studying trends in the ecosystems. Traditional methods of data collection are inefficient. Advancement in technology has seen development of tools that allow for:

  • Non-invasive data collection
  • Efficient data collection
  • Remote and continuous data collection
  • Camera traps and acoustic sensors are one of the most used ecosystems monitoring technologies.

    A camera trap is a system designed to capture pictures / videos automatically. Camera traps are commonly used in wildlife research. A camera trap comprises a camera unit and a motion sensor. The motion sensor is used to trigger / activate the camera once it detect motion.

    Commercial camera traps exist in the market. These camera traps have the following disadvantages:

  • They are expensive.
  • Less flexible / limited customisation.
  • Dependency on manufactures.
  • Developing camera traps locally may have the following advantages:

  • Cost effectiveness.
  • Easy customisation.
  • Adaptability.
  • Ownership and control
  • This tutorial will describe the DSAIL Camera Trap which is a low-cost Raspberry Pi based camera trap.

    The DSAIL Camera Trap

    The DSAIL Camera Trap is a low-cost Raspberry Pi based camera trap. It was developed to capture a predator that had invaded the Dedan Kimathi University of Technology (DeKUT) Coffee Farm. The camera trap was then deployed at the DeKUT Wildlife Conservancy to capture a Tsavo Cat that had been spotted in the conservancy. More camera traps were then developed for wildlife image data collection.

    Camera Trap

    Parts of the DSAIL Camera Trap

    The DSAIL Camera Trap comprises hardware and software. The Hardware comprises:

  • A Raspberry Pi,
  • A DSAIL Power Management Board,
  • A battery,
  • A Raspberry Pi camera,
  • A PIR motion sensor,
  • A solar panel,
  • An adapter box, and
  • A mounting rod.
  • The software is divided into:
  • Power management software,
  • Data collection software, and
  • Machine learning algorithm.
  • Hardware components of a Camera Trap

    Parts of the DSAIL Camera Trap

    1. The Raspberry Pi:

    A Raspberry Pi placed next to a ruler to show its size.

    2. DSAIL Power Management Board

    Parts of the DSAIL Power Management Board.

    3. The Raspberry Pi camera

    A Raspberry Pi Camera Module 2.

    4. Battery

    A LiPo battery.

    5. PIR Motion Sensor

    A PIR motion sensor.

    6.The Adapter Box and Mounting Rod