Garbage Truck Arrival Prediction Using Collection Site Image Analysis
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Solution Overview
Problem
Users cannot accurately determine the arrival time of a garbage truck at a collection site due to variable arrival times, leading to potential early departures and missed garbage dumping opportunities.
Innovation Solution
A system comprising vehicles with cameras and GPS, user terminals, and a server that calculates expected arrival times based on image analysis, garbage estimation, and traffic conditions to provide accurate notifications to users.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the garbage truck visits collection sites in turn according to a preset travel route, then the garbage collection process is systematic and organized, but the arrival time at each collection site varies and cannot be predicted accurately by users
Solution Approach 1:
The system continuously acquires the current position of the garbage truck and compares it with the preset travel route to calculate and update expected arrival times at each collection site. This real-time feedback mechanism provides users with accurate arrival time information while maintaining the systematic travel route approach.
Solution Approach 2:
The system pre-calculates the travel route and collection sequence before garbage collection begins. By having the preset route and collection order ready in advance, the system can provide users with expected arrival time information ahead of time, allowing them to prepare for garbage dumping.
2Productivity
If the garbage truck arrives earlier than the anticipated time, then the garbage collection process is efficient, but the user cannot dump garbage because the truck has already departed
Solution Approach 1:
The system provides real-time expected arrival time updates to users based on the garbage truck's current position and the preset travel route. This allows users to know when the truck will arrive and prepare accordingly, ensuring garbage dumping availability while maintaining collection efficiency.
Solution Approach 2:
The information processing device acts as an intermediary between the garbage truck and users. It receives position information from the garbage truck, calculates expected arrival times, and transmits this information to user terminals, bridging the information gap and enabling users to plan garbage dumping timing.
3Ease of operation
If the garbage truck waits for users who are not ready, then all users can dump garbage, but the garbage collection process is delayed and less efficient
Solution Approach 1:
The system provides users with expected arrival time information in advance, allowing them to prepare their garbage for dumping. Users can be ready when the truck arrives, eliminating the need for the truck to wait and maintaining collection efficiency while ensuring user convenience.
Data Source
AI summary
A vehicle transmits images in which garbage collection sites appear to a server. The server performs: identifying, among the plurality of images acquired from the vehicle, a yet-to-be-visited collection site image in which a yet-to-be-visited collection site appears that is a collection site by which a garbage truck has not yet passed in a travel route of the garbage truck; based on the identified yet-to-be-visited collection site image, calculating an estimated amount of garbage brought together at the yet-to-be-visited collection site; calculating an expected time of arrival at a collection site by which the garbage truck passes after the yet-to-be-visited collection site in the travel route such that the expected time of arrival at that collection site becomes later when the estimated garbage amount is large than when the estimated garbage amount is small; and notifying a user terminal of the expected time of arrival.