Oncoming Vehicle Detection for Waste Collection Safety
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Solution Overview
Problem
Waste collection vehicle workers are at risk of injury due to occasional collisions with other vehicles, as existing technologies lack effective oncoming vehicle detection systems to alert them of potential hazards.
Innovation Solution
A system equipped with optical sensors, such as cameras, SONAR, LIDAR, and RADAR, that capture data on approaching vehicles and use machine learning to compare it to predetermined threshold conditions, generating alarms via lighting, sound, or wearable devices if the conditions indicate a potential collision.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If workers ride on the back of the waste collection vehicle to collect waste, then waste collection efficiency is improved, but worker safety deteriorates due to risk of collision injury
Solution Approach 1:
The system performs preliminary detection of oncoming vehicles using optical sensors before a collision can occur. The processor continuously monitors the environment and predicts potential collision risks, allowing workers to take preventive action (return to vehicle or stay alert) before the harmful event happens.
Solution Approach 2:
The system provides real-time feedback to workers through audible and visual alarms when oncoming vehicles are detected. This feedback loop enables workers to immediately respond to potential hazards while maintaining their waste collection activities, thus preserving productivity while enhancing safety.
2Object-affected harmful factors
If optical sensors and machine learning systems are installed on the waste collection vehicle, then worker safety is improved through oncoming vehicle detection, but device complexity increases
Solution Approach 1:
The optical sensor system is designed to perform multiple functions: detecting oncoming vehicles, determining their trajectory, calculating collision risk, and triggering appropriate alarms. This multi-functionality reduces the need for separate specialized devices, thereby managing complexity while providing comprehensive safety coverage.
Solution Approach 2:
The processor automatically performs image processing, trajectory determination, and collision risk assessment without requiring external intervention. The system self-calibrates and self-manages the detection process, reducing operational complexity despite the advanced technology involved.
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
The system effectively alerts workers and drivers of potential collisions, reducing the risk of injury by providing timely warnings and enhancing safety during waste collection operations.
Implementation Method 1
The optical sensor comprises one or more of a still camera, a video camera, a SONAR detection device, a LIDAR detection device and a RADAR detection device
Implementation Method 2
The optical sensor comprises one or more of a still camera, a video camera, a SONAR detection device, a LIDAR detection device and a RADAR detection device
Implementation Method 3
The optical sensor comprises one or more of a still camera, a video camera, a SONAR detection device, a LIDAR detection device and a RADAR detection device
Data Source
AI summary
An object detection, tracking and alert system for use in connection with a waste collection vehicle is provided. The system can determine if an external moving object in the surrounding environment of the waste collection vehicle, such as another vehicle or a bicycle, is moving directly towards the waste collection vehicle, and then send one or more alerts to the driver and/or riders on the waste collection vehicle as well as any other waste collection vehicles in the surrounding area.