Camera Object Detection for Hazard and Spoil Alerts
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Solution Overview
Problem
Photographers often unknowingly encounter hazardous, dangerous, or spoil conditions while taking photos, such as allergens, dangerous animals, or subjects that flee due to camera noise or flash, leading to unsafe situations or ruined photos.
Innovation Solution
A computer-implemented system that receives image and distance data from a camera, detects objects, determines hazardous, dangerous, or spoil conditions, and transmits alerts to the user with safe distance instructions, and optionally disables camera features like flash or shutter burst to prevent disturbance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If the photographer approaches the subject to capture better photos, then the photo quality improves, but the photographer may encounter hazardous or dangerous conditions
Solution Approach 1:
The system performs preliminary detection of hazardous objects (snakes, spiders, bees, wasps, scorpions) in the scene before the photographer takes action. By analyzing images captured by the camera and identifying dangerous creatures in advance, the system alerts the photographer to potential hazards before they approach the subject, allowing the photographer to adjust their approach or take protective measures.
Solution Approach 2:
The system introduces an intermediary layer between the photographer and the hazardous environment. This intermediary consists of the image recognition system that detects dangerous creatures and the alert mechanism that communicates hazards to the photographer, creating a protective buffer that allows the photographer to remain aware of dangers without directly exposing themselves to them.
2Manufacturing precision
If the photographer uses camera features like flash or shutter burst to capture better photos, then the photo quality improves, but the subject may be disturbed and flee
Solution Approach 1:
The system implements feedback by continuously monitoring the scene for spoil conditions (such as presence of animals that may flee) and providing real-time alerts to the photographer. When the system detects an animal or subject that might be disturbed by camera features, it notifies the photographer, allowing them to adjust their photography approach to avoid disturbing the subject.
Solution Approach 2:
The system applies preliminary anti-action by detecting potential spoil conditions before the photographer captures images. By identifying animals or subjects in advance, the system allows the photographer to take preventive measures, such as disabling the flash or using quieter shutter modes, before the subject becomes disturbed and flees.
Data Source
AI summary
A computer-implemented method includes: receiving, by a computer device, image data and distance data from a camera device; detecting, by the computer device, an object in the image data; determining, by the computer device, a condition based on the detected object, wherein the condition is one of a hazardous condition, a dangerous condition, and a spoil condition; and transmitting, by the computer device, an instruction to the camera device based on the determined condition, wherein the instruction causes the camera device to output an alert to a user of the camera device, the alert being based on the determined condition and the distance data.


