Mobile Robot Illegal Parking Detection System

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Solution Overview

Problem

Conventional methods for controlling illegal parking are limited to specific spaces, require multiple camera sensors, and struggle with real-time enforcement, leading to increased system costs and delayed response times.

Innovation Solution

A mobile robot system that extracts a driving map, identifies illegal parking areas using sensors and artificial neural networks, and autonomously determines and reports vehicles parked in these areas, allowing for real-time enforcement.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If multiple camera sensors are installed in each space to control illegal parking, then detection accuracy is improved, but system costs increase

Engineering Contradiction:
Improvedetection accuracyVSAvoidsystem costs
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The mobile robot is designed to perform multiple functions: it carries various sensors (camera, LIDAR, ultrasonic sensors) to detect illegal parking, communicates with central servers, and can operate in different locations. This multi-functional design eliminates the need for separate dedicated sensors in each parking space while maintaining detection accuracy.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The mobile robot acts as an intermediary between the parking monitoring system and the central server. It collects data from its sensors, processes information locally, and communicates with the server, thereby reducing the need for direct installation of multiple fixed sensors throughout the parking area.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Ease of manufacture

If conventional monitoring systems are used, then system setup is simple, but real-time enforcement capability is lost

Engineering Contradiction:
Improvesystem setup simplicityVSAvoidreal-time enforcement capability
Core Design Contradiction:
Ease of manufactureVSProductivity

Solution Approach 1:

The system transitions from static fixed sensors to a dynamic mobile robot that can move throughout the parking area. The robot's mobility allows it to dynamically respond to different locations and maintain real-time monitoring capability while preserving the simplicity of sensor-based detection.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The mobile robot performs preliminary actions by continuously scanning the parking area and identifying potential illegal parking situations before enforcement is needed. It detects vehicles in restricted zones in advance and can immediately report or enforce, enabling real-time response.

Inventive Principle:
Principle #10Preliminary action

3Area of stationary object

If fixed camera sensors are installed in each parking space, then detection coverage is complete, but system cost and complexity increase

Engineering Contradiction:
Improvedetection coverageVSAvoidsystem cost
Core Design Contradiction:
Area of stationary objectVSDevice complexity

Solution Approach 1:

The system adds the dimension of mobility to the detection approach. Instead of covering all areas with fixed sensors (2D coverage), the mobile robot moves through different locations (adding temporal and spatial flexibility), effectively covering the entire parking area with a single mobile unit equipped with multiple sensors.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

Data Source

PatentUS20240395135A1Method for controlling illegal parking based on mobile robot and mobile robot therefor
Publication Date: 2024.11.28 HL ROBOTICS CO LTD
  • US20240395135A1 patent drawing
  • US20240395135A1 patent drawing
  • US20240395135A1 patent drawing

AI summary

A method for controlling illegal parking based on a mobile robot is provided. The method for controlling illegal parking based on a mobile robot includes extracting a driving map corresponding to an area in which the mobile robot travels, determining whether at least part of the area is an illegal parking area based on sensing data obtained from the mobile robot, setting an illegal parking area in the extracted driving map in a case where it is determined that the at least part is an illegal parking area, and determining whether a vehicle is illegally parked using the driving map in which the illegal parking area has been set.