Smart Trigger with ML Target Detection
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Solution Overview
Problem
Gun violence remains a significant issue due to the lack of effective technology to prevent unintended fatalities, particularly in situations where humans are the target, leading to devastating consequences such as fatal shots to vital organs.
Innovation Solution
A programmable trigger mechanism integrated with environmental input devices like cameras and sensors, utilizing machine learning to evaluate the situation and prevent firing towards humans, thereby reducing unintended fatalities by determining whether to fire or not based on the presence of human targets in the line of sight.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a programmable trigger mechanism with environmental input devices and machine learning is integrated into a firearm, then the ability to identify human targets and prevent unintended fatalities is improved, but the device complexity increases
Solution Approach 1:
The patent combines multiple functional components (camera, sensor devices, machine learning processor, and trigger mechanism) into an integrated smart trigger system. The environmental input devices capture data about the target, the machine learning model processes this data to identify human targets, and the trigger mechanism executes the firing decision, all as a unified system that improves reliability while managing complexity through functional integration
Solution Approach 2:
The machine learning model acts as an intermediary between the environmental input devices and the trigger mechanism. It processes the raw environmental data, makes the determination about whether to fire, and communicates this decision to the trigger mechanism, thereby reducing the complexity burden on the trigger mechanism itself while maintaining high identification accuracy
2Reliability
If environmental input devices and machine learning evaluation are added to the trigger system, then the ability to reduce unintended fatalities is improved, but the response time and processing duration increase
Solution Approach 1:
The machine learning model is pre-trained with extensive data about human targets and various shooting scenarios before deployment. This preliminary training allows the model to make rapid determinations during actual use, as the complex pattern recognition has already been established during the training phase, thereby reducing processing time during critical moments while maintaining high accuracy in preventing unintended fatalities
Solution Approach 2:
The patent replaces traditional mechanical trigger systems with an electronic and computational system. Instead of relying solely on mechanical components and human judgment, the system uses electronic sensors, digital image processing, and machine learning algorithms to evaluate the situation and control the firing decision, enabling faster and more accurate processing than mechanical systems alone could achieve
Data Source
AI summary
A system and method for a programmable trigger device for a firearm, capable of situational awareness providing intelligent contextual data related to projectile management to a downstream firing device. In particular, a smart trigger system that evaluates targets in line-of-fire, estimated target age, estimated target distance, and other contextual data that is then passed along to a programmable device. The device, as provided by the consumer of this invention, may make the determination then whether to eject or prevent ejection of a bullet after the trigger is activated, firing an alternative shot based on environmental factors of which the device is aware, or other activations or deactivations as seen fit.