DIY Motorised Camera Slider with Object Tracking

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Are you a videographer or a photographer looking to take your shots to the next level? Do you want to create smooth, cinematic camera movements that will add a professional touch to your videos or time-lapses? If so, then you’ve come to the right place. In this comprehensive guide, we’ll walk you through the process of building your own motorised camera slider with object tracking capabilities.

A camera slider is a device that allows you to capture smooth, linear camera movements by mounting your camera on a rail or track and moving it along a predetermined path. This technique is widely used in filmmaking, videography, and photography to create dynamic and engaging visuals. However, traditional sliders can be expensive and lack the ability to track moving objects automatically.

By building your own motorised camera slider with object tracking, you’ll not only save money but also gain the flexibility to follow your subjects with ease, whether they’re people, animals, or moving vehicles. This DIY project combines the principles of mechanics, electronics, and computer vision to create a powerful tool that will elevate your creative endeavours.

Understanding Camera Sliders

Before we dive into the construction details, let’s briefly explore the concept of camera sliders and their importance in the world of videography and photography.

Why Use a Camera Slider?

Camera sliders offer several advantages over traditional static shots:

  1. Dynamic Movement: Sliders allow you to create smooth, linear camera movements that add depth and interest to your shots. These movements can convey a sense of motion, reveal new perspectives, or guide the viewer’s attention.
  2. Cinematic Look: The use of camera sliders is a common technique in professional filmmaking, lending a cinematic quality to your videos or time-lapses.
  3. Creative Control: With a slider, you have precise control over the camera’s movement, enabling you to plan and execute intricate shots with ease.
  4. Versatility: Camera sliders can be used in a variety of settings, including studios, outdoor locations, and even in tight spaces, making them a versatile tool for various shooting scenarios.

Types of Camera Sliders

There are several types of camera sliders available on the market, each with its own advantages and limitations:

  1. Manual Sliders: These sliders require you to physically move the camera along the track, which can be challenging for longer slides or when precise movements are required.
  2. Motorised Sliders: These sliders are equipped with a motor that moves the camera along the track, allowing for smoother and more consistent movements.
  3. Curved Sliders: In addition to linear movements, some sliders can also create curved movements by following a curved track or rail.
  4. Object Tracking Sliders: These advanced sliders incorporate computer vision technology to automatically track and follow moving subjects, ensuring that the subject remains in the frame throughout the shot.

While commercial object tracking sliders can be expensive, our DIY project will enable you to build a motorised slider with object tracking capabilities at a fraction of the cost.

Project Overview

In this guide, we’ll walk you through the process of building a motorised camera slider with object tracking capabilities. Here’s a high-level overview of the project:

  1. Mechanical Assembly: We’ll construct the slider’s frame, rails, and carriage system to ensure smooth and stable camera movement.
  2. Electronics and Wiring: We’ll integrate a microcontroller, motor driver, and other electronic components to control the slider’s movement.
  3. Object Tracking: We’ll incorporate a camera module and computer vision algorithms to track and follow moving objects automatically.
  4. Software and Programming: We’ll write the necessary code to control the slider’s movement, implement object tracking algorithms, and provide a user interface for configuring and operating the system.

Throughout the guide, we’ll provide detailed instructions, diagrams, and code snippets to ensure a successful build. Additionally, we’ll discuss potential challenges, troubleshooting tips, and ways to further enhance and customize your DIY camera slider.

Materials and Tools Required

Before we begin, let’s gather the necessary materials and tools for the project. Here’s a list of what you’ll need:


  • Aluminum extrusion rails or wooden boards for the slider frame
  • Linear bearings or roller wheels for the carriage system
  • Stepper motor or servo motor for driving the slider
  • Motor driver module (e.g., A4988 or TB6600 for stepper motors, or a servo motor controller)
  • Microcontroller board (e.g., Arduino, Raspberry Pi, or similar)
  • Camera module (e.g., Raspberry Pi Camera Module, USB webcam)
  • Power supply (e.g., a battery pack or wall adapter)
  • Wires, connectors, and other electronic components as needed


  • Measuring tape or ruler
  • Drill and drill bits
  • Saw (if cutting wood or metal)
  • Screwdrivers
  • Wire cutters and strippers
  • Soldering iron and solder (if needed)
  • Computer or laptop for programming and testing

Note that the specific materials and tools may vary depending on the design and components you choose. We’ll provide more detailed information and alternatives throughout the guide.

Mechanical Assembly

The mechanical assembly is the foundation of our DIY camera slider. In this section, we’ll guide you through the process of constructing the slider frame, carriage system, and other mechanical components.

Designing the Slider Frame

The first step is to design and build the slider frame, which will serve as the base for the entire system. There are several options to consider:

  1. Aluminum Extrusion Rails: Aluminum extrusion rails are a popular choice for camera sliders due to their strength, durability, and precise linear motion. These rails can be easily customized and combined with various mounting hardware and accessories.
  2. Wooden Boards: If you prefer a more budget-friendly or DIY approach, you can use wooden boards or planks to construct the slider frame. This option requires more precision and craftsmanship but can be an excellent choice for those with woodworking skills.
  3. 3D Printed Parts: With the availability of 3D printers, you can design and print custom parts for your slider frame, allowing for greater flexibility and customization.

Regardless of the material you choose, the slider frame should be sturdy, level, and able to accommodate the carriage system and camera mount.

Building the Carriage System

The carriage system is responsible for smoothly moving the camera along the slider rails. There are several options to consider:

  1. Linear Bearings: Linear bearings are commonly used in camera sliders as they provide smooth, low-friction motion along the rails. These bearings can be purchased or even 3D printed if you have access to a 3D printer.
  2. Roller Wheels: Roller wheels or caster wheels can also be used as an alternative to linear bearings. While not as smooth as bearings, they can be a more cost-effective option and readily available.
  3. Rail Sliders: Some camera slider kits or extrusion systems come with pre-built rail sliders or carriages, which can simplify the construction process.

When designing the carriage system, ensure that it can securely mount the camera or camera platform while allowing for smooth movement along the rails.

Attaching the Camera Mount

The camera mount is the component that secures your camera or camera platform to the carriage system. There are several options to consider:

  1. Quick-Release Plates: Quick-release plates are commonly used in photography and videography equipment, allowing for quick attachment and detachment of the camera. These plates can be purchased separately or integrated into the carriage design.
  2. 3D Printed Mounts: If you have access to a 3D printer, you can design and print custom camera mounts tailored to your specific camera model and requirements.
  3. Universal Mounting Systems: Some camera sliders or accessories may include universal mounting systems that can accommodate various camera models and sizes.

When attaching the camera mount, ensure that it is secure and stable, and that the camera’s center of gravity is properly aligned with the carriage system for smooth and balanced movement.

Assembly and Testing

Once you have designed and constructed the slider frame, carriage system, and camera mount, it’s time to assemble everything together. Follow these steps:

  1. Attach the carriage system to the slider rails, ensuring smooth and level movement along the entire length of the rails.
  2. Mount the camera or camera platform onto the carriage system, ensuring proper balance and alignment.
  3. Test the slider’s movement by manually moving the carriage back and forth along the rails. Check for any binding, wobbling, or unevenness, and make adjustments as necessary.
  4. Secure all components and tighten any loose connections or fasteners.

At this stage, your mechanical assembly should be complete, and you should have a functional camera slider capable of smooth, linear camera movements. However, we still need to integrate the electronics and software components to motorize the slider and enable object tracking capabilities.

Electronics and Wiring

In this section, we’ll guide you through the process of integrating the electronic components necessary to motorize your camera slider and enable object tracking capabilities.

Choosing the Motor and Driver

The motor is responsible for driving the carriage system along the slider rails. There are two main options to consider:

  1. Stepper Motor: Stepper motors are a popular choice for camera sliders due to their precise positioning and control. They can be easily controlled by microcontrollers and motor drivers, allowing for smooth and accurate movements.
  2. Servo Motor: Servo motors are another option, particularly for smaller or lighter camera setups. They are typically easier to control but may not provide the same level of precision as stepper motors.

Depending on your choice of motor, you’ll also need a compatible motor driver module. For stepper motors, common driver modules include the A4988, DRV8825, or TB6600. For servo motors, you’ll need a servo motor controller or a microcontroller with dedicated servo control capabilities.

Selecting the Microcontroller

The microcontroller acts as the brain of your DIY camera slider, controlling the motor and implementing the object tracking algorithms. There are several options to choose from:

  1. Arduino: Arduino boards, such as the Arduino Uno or Arduino Mega, are popular choices for DIY projects due to their simplicity, versatility, and large community support.
  2. Raspberry Pi: The Raspberry Pi is a powerful and compact single-board computer that can run various operating systems and programming languages, making it an excellent choice for more advanced projects.
  3. Other Microcontroller Boards: There are many other microcontroller boards available, such as the ESP32, STM32, or Teensy, each with its own strengths and capabilities.

When selecting a microcontroller, consider factors such as processing power, memory, I/O capabilities, and compatibility with the motor driver and camera module you plan to use.

Integrating the Camera Module

To enable object tracking capabilities, you’ll need to integrate a camera module with your microcontroller. There are several options available:

  1. Raspberry Pi Camera Module: If you’re using a Raspberry Pi as your microcontroller, the official Raspberry Pi Camera Module is a popular and well-supported choice.
  2. USB Webcam: For other microcontroller boards or computers, a USB webcam can be a convenient and affordable option for capturing video feeds.
  3. Other Camera Modules: Depending on your specific requirements and microcontroller compatibility, there are various other camera modules available, such as the Arducam, OV7670, or custom MIPI camera modules.

When selecting a camera module, consider factors such as resolution, frame rate, and compatibility with your microcontroller and programming environment.

Wiring and Power Supply

Once you have chosen your motor, motor driver, microcontroller, and camera module, it’s time to wire everything together. Here’s a general wiring diagram:

[Insert a wiring diagram or schematic here]

Ensure that you follow the correct pinout and wiring instructions for each component to avoid any damage or malfunctions. Additionally, you’ll need to provide a suitable power supply for your system, such as a battery pack or wall adapter, depending on your power requirements.

Object Tracking and Software

Now that we have the mechanical and electronic components in place, it’s time to dive into the software side of the project and implement object tracking capabilities.

Understanding Object Tracking

Object tracking is a computer vision technique that involves detecting and following a specific object or target within a video feed. This is achieved by analyzing each frame of the video and locating the object of interest based on its visual characteristics, such as color, shape, or texture.

There are several object tracking algorithms and techniques available, each with its own strengths and weaknesses. Some popular algorithms include:

  1. Template Matching: This technique involves comparing each frame to a predefined template or image of the target object, and finding the best match.
  2. Kernel-based Tracking: Algorithms like Mean-Shift or Continuously Adaptive Mean-Shift (CAMSHIFT) track objects based on their color or intensity distributions.
  3. Feature-based Tracking: These algorithms detect and track specific features or keypoints of the target object, such as corners, edges, or blobs.
  4. Deep Learning-based Tracking: With the advent of deep learning and neural networks, more advanced object tracking algorithms have emerged, leveraging the power of convolutional neural networks (CNNs) and other deep learning models.

The choice of algorithm will depend on factors such as the complexity of the tracking scenario, the processing power available, and the specific requirements of your project.

Implementing Object Tracking in Code

To implement object tracking in your DIY camera slider, you’ll need to write code that integrates the chosen tracking algorithm with your microcontroller and camera module. This code will be responsible for:

  1. Capturing video frames from the camera module.
  2. Processing each frame and applying the object tracking algorithm to locate the target object.
  3. Calculating the position and movement of the target object within the frame.
  4. Sending commands to the motor driver to adjust the slider’s position and follow the target object.

The specific code implementation will vary depending on the programming language, libraries, and tools you choose to use. Some popular options include:

  • OpenCV: OpenCV (Open Source Computer Vision Library) is a widely-used computer vision library that offers a vast collection of algorithms and functions for object tracking, image processing, and machine learning tasks. It is available for various programming languages, including C++, Python, and Java.
  • Dlib: Dlib is a C++ library that includes tools for object tracking, machine learning, and other computer vision tasks. It provides several pre-trained models for object detection and tracking, making it a powerful choice for advanced projects.
  • TensorFlow Object Detection API: If you prefer to use deep learning-based object tracking, the TensorFlow Object Detection API provides a collection of pre-trained models and tools for detecting and tracking objects in images and videos.
  • Arduino Libraries: For simpler projects or if you’re using an Arduino board, there are several Arduino libraries available for object tracking, such as the OpenCV for Arduino library or the SimpleTracker library.

Regardless of the approach you choose, you’ll need to integrate the object tracking code with your microcontroller’s motor control code to seamlessly move the camera slider along with the tracked object.

User Interface and Configuration

To improve the usability and functionality of your DIY camera slider, you may want to consider implementing a user interface or configuration options. This could involve:

  1. LCD Display or OLED Screen: Integrating a display module with your microcontroller can provide real-time feedback on the object tracking status, slider position, and other parameters.
  2. Control Buttons or Knobs: Physical buttons or rotary encoders can allow you to adjust settings, such as tracking sensitivity, speed, or camera settings, without the need for a computer interface.
  3. Serial Communication or Wireless Interface: Establishing a serial communication link (e.g., USB, Bluetooth, or Wi-Fi) between your microcontroller and a computer or mobile device can enable advanced configuration options, real-time monitoring, and even remote control capabilities.
  4. Web Interface or Mobile App: For more advanced projects, you could develop a web-based interface or a dedicated mobile app to control and configure your DIY camera slider remotely.

The complexity of the user interface will depend on your specific requirements and the resources available. However, even a basic interface can greatly improve the overall user experience and ease of use for your DIY camera slider.

Enhancements and Customizations

While the core functionality of your DIY motorised camera slider with object tracking is now complete, there are numerous ways to enhance and customize the system to better suit your needs. Here are some ideas to consider:

Slider Length and Portability

Depending on your shooting requirements, you may want to adjust the length of the slider rails. Longer rails allow for more extensive camera movements, while shorter rails can be more portable and suitable for tight spaces or travel.

Additionally, you can explore modular or collapsible designs that allow you to disassemble and transport the slider more easily.

Multiple Axis Movement

While our DIY project focuses on linear camera movements, you can explore adding additional axes of motion, such as panning or tilting capabilities. This can be achieved by incorporating additional motors and mechanical components, as well as modifying the software to control these extra axes.

Advanced Object Tracking Techniques

As you gain more experience with object tracking, you may want to explore more advanced techniques, such as:

  1. Multi-Object Tracking: Tracking multiple objects simultaneously, which can be useful for capturing group scenes or following multiple subjects.
  2. Occlusion Handling: Implementing algorithms that can handle occlusions, where the target object is temporarily obscured or blocked from view.
  3. Adaptive Tracking: Developing algorithms that can adapt to changing lighting conditions, object appearances, or other environmental factors that may affect tracking performance.
  4. Deep Learning-based Tracking: Exploring the use of deep learning models and neural networks for more robust and accurate object tracking, especially in complex scenarios