Human Target Detection in Sighting Devices for Abnormal Aiming
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Solution Overview
Problem
Existing sighting devices prioritize shooting accuracy but neglect safety, particularly in low-light conditions, risking accidental harm to humans.
Innovation Solution
A human detection and warning method integrated into sighting devices that recognizes human targets and triggers an abnormal aiming mode to prevent shooting, using deep learning-based target recognition and various warning mechanisms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing sighting devices are designed to improve shooting accuracy, then shooting accuracy is improved, but safety is compromised as they cannot detect human targets
Solution Approach 1:
The target recognition system segments different target types (human targets vs. animal targets) through separate detection mechanisms and visual indicators. Human targets are marked with red frames and warning signals, while animal targets receive normal aiming assistance, allowing the system to maintain shooting accuracy for legitimate targets while preventing accidental harm to humans.
Solution Approach 2:
The system introduces an intermediary warning mechanism between the aiming function and the shooting action. When a human target is detected, the system activates warning signals (red frames, audible alerts, visual indicators) that intervene in the normal aiming process, preventing the shooter from firing at human targets while maintaining the ability to shoot animal targets accurately.
2Object-affected harmful factors
If human detection function is added to sighting devices, then safety is improved, but device complexity increases
Solution Approach 1:
The sighting device integrates multiple functions into a single system: it provides aiming assistance for animal targets, detects human targets, and activates warning mechanisms. This multi-functionality is achieved through a unified image processing system that analyzes thermal and visual characteristics to distinguish between human and animal targets, avoiding the need for separate independent systems.
Solution Approach 2:
The system changes detection parameters dynamically based on the detected target type. When human targets are detected, the system activates specific warning parameters (red framing, audible alerts, visual indicators) while maintaining normal aiming parameters for animal targets. This dynamic parameter adjustment allows the system to handle different scenarios without requiring completely separate processing paths.
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
Enhances safety by preventing accidental shooting at humans, limiting the devices to civilian use, and ensuring safer operation in complex environments.
Implementation Method 1
infrared scopes, which can usually collect thermal radiation emitted by a target object and convert the collected thermal radiation into a visual image
Data Source
AI summary
A human detection and warning method includes: acquiring a current scene image within a current field of view of a sighting device; determining whether there is a human target being currently aimed at and/or whether there is currently target tracking of a human target, based on a target recognition result of the current scene image and a position of an aiming mark in the current scene image; and triggering the sighting device to enter an abnormal aiming mode if there is a human target being currently aimed at and/or there is currently target tracking of a human target.