Inspiration

We were inspired by the idea of blending robotics, AI, and interactive systems to create something both fun and technically challenging. The concept of a smart Nerf gun turret came from a mix of sci-fi influences and a desire to apply our skills in real-time systems, machine learning, and embedded programming in a creative way.

What it does

Project Artemis is an autonomous Nerf gun turret that can detect and identify human faces using a custom-trained face recognition model. It features:

  • Voice command activation via the Google Voice Recognition API.
  • Manual control with a PS4 controller using the SDL2 library.
  • Serial communication to interact with hardware components.
  • Patrol mode, where the turret scans its environment for targets.
  • Autonomous firing when a recognized face or target is detected.

How we built it

We developed Project Artemis using:

  • C++ as the main programming language.
  • CMake for project configuration and building.
  • vcpkg to manage C++ libraries.
  • Custom face recognition model, trained using OpenCV.
  • Google Speech-to-Text API for voice control.
  • SDL2 for PS4 controller input.
  • Serial communication libraries to interact with the turret's hardware. We tied everything together into a multi-threaded system that handles input, processing, and actuation in real-time.

Challenges we ran into

  • Integrating multiple subsystems (voice, vision, control, and hardware) and managing concurrency was tricky.
  • Training the face recognition model to perform reliably under different lighting and angles.
  • Tuning the servo controls to move the turret smoothly and accurately.
  • Serial communication bugs, especially syncing messages across different hardware platforms.
  • Latency issues in real-time recognition and response.

Accomplishments that we're proud of

  • Building a fully functional AI-powered Nerf turret from scratch.
  • Successfully integrating face and voice recognition in a real-time C++ system.
  • Achieving smooth and responsive manual + autonomous turret control.
  • Creating an immersive experience with patrol mode and intelligent targeting.## What we learned

What's next for Project Artemis

  • Implementing target vs non-target classification to avoid firing on authorized individuals.
  • Upgrading to a more powerful onboard computer.
  • Adding web or mobile control interfaces.
  • Integrating object tracking and predictive targeting.
  • Improving the voice interface to understand more complex commands.

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