Top Down Stealth Toolkit

Rohit Kotiveetil - Blueprints - Jan 13, 2016
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The Top Down Stealth Toolkit is a pure blueprint framework that enables quick & easy creation of Stealth games from a Top Down Perspective.

  • Supported Platforms
  • Supported Engine Versions
    4.19, 4.21 - 4.26, 5.0
  • Download Type
    Complete Project
    This product contains a full Unreal Engine project folder, complete with Config files, Content files and .uproject file, which can be used as a template to create a new project.

Gameplay Demo

Support Thread

Tutorials/Concept Overviews


• Top-Down Camera perspective.

• A custom-built AI Perception system tailored specifically for developing Stealth games enable AI agents to perceive stimuli through four different types of perception models: Visual, Aural, Intuitive, & Motion perception.

• A Stimulus generation system that enables users to easily customize & add new types of perceivable stimuli.

• Patrol Guards that can respond to a wide variety of stimuli including the player character, incapacitated team mates, alarms, footstep & gunshot noises, & more.

• Automated security devices like Cameras, Motion Sensors, Laser Security Systems, & Turrets function provide additional layers of challenge to the player.

• Use Gadgets & Weapons to distract or disable AI Bots.

• A Global Alert Level system that dynamically increases the difficulty through deployment of AI reinforcements.

• Edge Detection algorithms help deliver increased performance for Line of Sight Visualization.

• A Mission Stats Display system that tracks & updates high score information for every level.

Preview Video:

Technical Details

• Modular components are employed throughout the toolkit to implement features with minimal coupling.

• The Global Alert Level system controls the Global Alert Meter by employing event dispatchers to continuously listen in new stimuli being perceived by AI agents across the level.

•  The AI Surveillance Controller directs the activation of all AI agents within the level. This system can be leveraged to create different starting conditions for each level, choosing to activate all security measures by default or have them activated in a modular fashion based on the overall threat perceived by the AI.

•  The AI Sensory Manager continuously evaluates all stimuli against various agents & assigns new objectives to the AI agents based on the results.

• The Patrol Guard AI uses Behavior Trees to respond to the various objectives assigned by the AI Sensory Manager.

• The Line of Sight Visualization system employs raycast driven edge detection approximations to deliver vastly increased performance over brute force models.

Input: Mouse & Keyboard

Network Replicated: No

Supported Development Platforms: Windows

Supported Target Build Platforms: Windows

Documentation: Fully Commented