Table Camera Detection of Falling Objects Using State Duration
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Solution Overview
Problem
Existing manufacturing processes face challenges in detecting falling objects on tables, which can cause damage to delicate equipment, leading to downtime and costly repairs, as conventional monitoring systems like CCTV are inadequate for this purpose.
Innovation Solution
A system utilizing a pre-installed camera and a server with unsupervised learning algorithms to detect falling objects on a table by analyzing image patterns and timing, without additional equipment, and providing alerts through an alarm device.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional monitoring systems like CCTV are used, then the system structure remains simple, but the ability to detect falling objects is insufficient
Solution Approach 1:
The system uses the existing camera infrastructure to perform detection functions without requiring separate dedicated detection equipment. The camera serves dual purposes: general monitoring and falling object detection, thereby improving reliability without significantly increasing device complexity
Solution Approach 2:
The patent replaces manual visual inspection with automated image processing using unsupervised learning algorithms. This substitution of mechanical/ human-based detection with automated computational methods enhances detection reliability while maintaining system simplicity
2Reliability
If additional detection equipment is installed, then falling object detection reliability improves, but device complexity increases
Solution Approach 1:
The existing camera system is made multi-functional by enabling it to perform both general manufacturing process monitoring and specific falling object detection through software algorithms, eliminating the need for additional dedicated detection hardware
Solution Approach 2:
The system leverages its existing camera infrastructure to provide advanced detection capabilities without requiring external additional equipment, thereby improving reliability while keeping device complexity low
3Productivity
If manual inspection is used, then device complexity remains low, but detection speed and productivity are reduced
Solution Approach 1:
The patent replaces manual visual inspection with automated image processing systems that continuously analyze camera feeds using unsupervised learning algorithms, significantly improving detection speed while maintaining relatively simple system architecture
Solution Approach 2:
The system performs continuous automated monitoring without interruption, enabling real-time detection of falling objects throughout the manufacturing process, thereby improving productivity compared to periodic manual inspections
Data Source
AI summary
A system for detecting a falling object on a table includes a camera unit configured to obtain at least one image of a surface of the table, and a server configured to detect, from the at least one image, a first state in which an object is on the surface of a table or a second state in which no object is on the surface of the table, obtain information, when the first state is detected, on a first time during which the first state continues, detect that a falling object is on the surface of the table when the first time is more than a first reference time, and detect that no falling object is on the surface of the table when the first time is the first reference time or less.