Area Image Sensor Self-Triggering for Event Capture

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Solution Overview

Problem

Machine vision systems in continuous manufacturing processes often require external triggering to capture entire events, leading to inefficiencies and incomplete image capture due to limited frame frequency, especially when dealing with moving objects.

Innovation Solution

An area image sensor captures and transfers a part of the image frame to a processing unit, which analyzes for predefined events; upon detection, the sensor is reconfigured to capture and transfer a larger part of the image frame for further analysis, eliminating the need for external triggering.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If external triggering is used to capture entire events, then complete event capture is achieved, but system complexity and response time increase

Engineering Contradiction:
Improvecomplete event captureVSAvoidexternal trigger system
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent extracts the triggering function from an external source and implements it within the image sensor itself through on-chip logic that detects predefined events directly from incoming image data, eliminating the need for external trigger signals while maintaining complete event capture capability

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The image sensor performs self-triggering by incorporating event detection logic that automatically generates trigger signals based on predefined event patterns detected in the image stream, making the system self-sufficient without external control

Inventive Principle:
Principle #25Self-service

2Measurement precision

If larger image parts are transferred for analysis, then event detection accuracy improves, but data transmission volume and processing time increase

Engineering Contradiction:
Improveevent detection accuracyVSAvoiddata transmission time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The patent segments the image data transmission by transferring only the specific region containing the detected event to the processing unit, rather than transmitting the entire image frame, thus maintaining detection accuracy while minimizing data transmission volume and time

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system applies different quality levels to different parts of the image by transmitting full-resolution data only for regions containing events of interest, while other regions are either not transmitted or transmitted at lower resolution, optimizing the balance between accuracy and efficiency

Inventive Principle:
Principle #3Local quality

Data Source

PatentEP3017425B1Synchronization of imaging
Publication Date: 2024.03.20 PROCEMEX
  • EP3017425B1 patent drawingFigure 1a~1c
  • EP3017425B1 patent drawingFigure 2a~2h
  • EP3017425B1 patent drawingFigure 3~4

AI summary

The invention relates to a method, the method comprises exposing an image frame of an object to be monitored by an area image sensor, transmitting a part of the exposed image frame to an image data processing device, analysing the part and if the part is detected to comprise a predefined event, said image data processing device is arranged to transmit a trigger signal for triggering said area image sensor so that said area image sensor transmits a bigger part of at least one further image frame to said image data processing device for further analysis, and if not the area image sensor continues to expose at least one further image frame and to transmit a part of said at least one exposed further image frame. The invention further relates to a machine vision system for performing the method and a computer program product comprising instructions to perform the method.