In-Vehicle Camera Bird Detection With Networked Horn Deterrence
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Solution Overview
Problem
Wild bird droppings and scavenging by birds in areas like garbage dumps cause damage, and existing methods lack effective solutions to prevent or mitigate these issues.
Innovation Solution
An information processing device and method that utilize in-vehicle cameras to detect predetermined events, such as gatherings of birds, and trigger a nearby vehicle to sound its horn to intimidate and drive away the birds, thereby reducing damage through a network-connected system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If in-vehicle cameras and network systems are deployed to detect bird gatherings, then damage from bird droppings is reduced, but device complexity and cost increase
Solution Approach 1:
The system divides the monitoring task into segments: multiple first vehicles capture images of different locations, a server processes and analyzes the images to detect bird gatherings, and second vehicles execute the horn-sounding action. This segmentation allows the complex detection and response function to be distributed across multiple simple components rather than requiring a single complex system.
Solution Approach 2:
The server acts as an intermediary between the image-capturing vehicles and the horn-sounding vehicles. It receives images from first vehicles, analyzes them for bird gatherings, and sends control signals to second vehicles. This intermediary simplifies the overall system architecture by centralizing the complex image processing and decision-making functions.
2Speed
If real-time image processing is performed to detect bird gatherings, then response time is improved, but energy consumption increases
Solution Approach 1:
The system performs image processing only when necessary - when images are captured by vehicles passing through monitored locations. Rather than continuous processing, it processes images on-demand based on vehicle presence and captured data, reducing overall energy consumption while maintaining timely detection capability when birds are present.
3Object-affected harmful factors
If horn-sounding vehicles are deployed to intimidate birds, then bird damage is prevented, but disturbance to surrounding areas increases
Solution Approach 1:
The system sounds the horn in advance when bird gatherings are detected, before the birds can cause damage to garbage dumps or other locations. This preliminary action prevents the harmful effect (scavenging and droppings) from occurring in the first place, rather than responding after damage has been done.
Solution Approach 2:
The system takes preliminary action by detecting bird gatherings early through image processing and triggering horn sounds before the birds can migrate to or settle in vulnerable areas. This advance warning and deterrent action prevents chronic fecal damage by addressing the problem at its source.
Data Source
AI summary
Determining whether a predetermined event has occurred based on a captured image including a predetermined location captured by an in-vehicle camera of one or more first vehicles; and determining that the predetermined event has occurred. The information processing device includes a control unit that, when determined, causes a second vehicle located around a predetermined location to sound its horn. When determining that a predetermined event has occurred, the control unit may report the occurrence of the predetermined event to a predetermined reporting destination.