Threat-Response Drones Using Light-Based Non-Physical Distractors
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Solution Overview
Problem
Current technologies lack effective means to distract or neutralize threats in real-time without physical confrontation, which can delay the threat's window of opportunity to impose harm and allow other responders time to act.
Innovation Solution
A drone system equipped with sensors and communication networks that identify threats using AI and direct non-physical deterrents such as light sources, barriers, projectiles, gases, or adhesive drones to neutralize or distract the threat.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If non-physical deterrents (light sources, barriers, projectiles, gases) are used to distract or neutralize threats, then the threat's ability to cause harm is delayed and time for responders to act is provided, but the device complexity increases due to multiple subsystems (sensors, AI processing, communication networks, and various deterrent mechanisms)
Solution Approach 1:
The drone system is divided into separate functional modules: sensor subsystem for threat detection, AI processing unit for analysis, communication network for coordination, and multiple deterrent mechanisms (light sources, barriers, projectiles, gases). Each module operates semi-independently, allowing the system to manage complexity through modular architecture while maintaining the ability to deploy various non-physical deterrents to delay threats and provide response time.
Solution Approach 2:
The drone system is designed with multi-functional capabilities, integrating threat detection, AI analysis, communication, and multiple types of non-physical deterrents (light sources, barriers, projectiles, gases) into a single platform. This universal system can adapt to different threat scenarios and employ various deterrent mechanisms as needed, reducing the need for separate specialized systems while managing overall complexity.
2Measurement precision
If AI and sensor systems are deployed to identify threats in real-time, then the accuracy of threat detection is improved, but the use of energy increases due to continuous scanning and processing requirements
Solution Approach 1:
The sensor systems and AI processing operate in periodic cycles rather than continuously, scanning for threats at intervals and processing data in batches. This periodic operation maintains high threat detection accuracy when needed while reducing overall energy consumption during cruising or monitoring phases, allowing the drone to balance detection precision with energy conservation.
Solution Approach 2:
The AI system employs self-service mechanisms by prioritizing processing of high-probability threat signals and using learned patterns from previous detections to quickly assess new situations. This reduces the computational energy required for each detection cycle while maintaining high accuracy, as the system becomes more efficient at identifying threats without requiring maximum processing power continuously.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The drone system effectively delays the threat's ability to cause harm by using non-physical means, providing time for other responders to neutralize the threat or mitigate potential damage.
Implementation Method 1
The light source can be aimed toward the threat; and light may be directed from the light source toward the threat
Data Source
AI summary
Embodiments of the invention include a drone system or method for distracting a threat with a light source. In some embodiments, an environment can be scanned with a sensor that produces sensor data. A threat within the environment can be identified from the sensor data, and the location of the threat can be determined. The light source can be aimed toward the threat; and light may be directed from the light source toward the threat.