Safety Hat Detection via RGB HSV Color Analysis
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Solution Overview
Problem
In construction fields, bicycle roads, and during two-wheeler travel, accidents often occur due to the lack of safety hat wear, highlighting the need for a system to recognize non-wearers and alert them to prevent accidents.
Innovation Solution
A vision watching system that uses a camera to detect individuals within a designated zone, processes images to determine if they wear safety hats based on size, outline, RGB values, and HSV color analysis, and transmits a warning message to non-wearers in real-time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-resolution cameras are used to accurately detect safety hat wear, then detection precision is improved, but system cost and complexity increase
Solution Approach 1:
The patent changes the parameter of image resolution from high to low, demonstrating that accurate safety hat detection can be achieved with low-resolution cameras by focusing on color analysis rather than detailed image quality. This resolves the contradiction by showing that detection precision can be maintained while significantly reducing system complexity and cost.
Solution Approach 2:
The patent applies local quality analysis by focusing detection efforts on specific key features (color values of the head area) rather than analyzing the entire image at high resolution. This allows accurate detection of safety hat wear status using only RGB and HSV color parameters from low-resolution images, avoiding the need for high-resolution cameras.
2Reliability
If real-time monitoring is implemented to alert non-wearers, then safety effectiveness is improved, but processing speed requirements increase
Solution Approach 1:
The patent extracts only the essential features needed for safety hat detection (RGB and HSV color values of the head area) from the full image, discarding all other unnecessary image data. This extraction approach enables real-time processing with low-resolution cameras, as only a few color parameters need to be calculated rather than analyzing complete high-resolution images.
Solution Approach 2:
The patent performs partial action by implementing detection only for the head area color characteristics rather than analyzing the entire scene in detail. This partial detection approach achieves sufficient safety monitoring effectiveness while dramatically reducing processing speed requirements and computational load.
Data Source
AI summary
Provided are vision watching system and method for a safety hat. The vision watching system includes: a receiver which receives an image signal of a watching zone of a camera; a processor which determines whether an object of the image signal is a person, based on a size and an outline of the object and determines whether the person wears a safety hat, based on at least one or more of red (R), green (G), and blue (B) values of a head part of the person and a Hue value of Hue, Saturation, Value (HSV) of the head part; and a transmitter which outputs a Pan-Tilt-Zoom (PTZ) control signal of the camera to obtain a thumbnail image of the person when determining the person who does not wear the safety hat.