Electronic Part Recognition Using Optical Sensors
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Solution Overview
Problem
Conventional chip mounters rely on manual input of electronic part information, which is prone to errors and requires repeated corrections due to the difficulty in precisely measuring and inputting specifications like sizes, lead numbers, and pitches, especially when specifications are not provided by the manufacturer.
Innovation Solution
An apparatus with a seating unit and part information processing unit that includes sensors to recognize and align electronic parts, obtaining and storing information about their surfaces, using a combination of X-Y-Z position movers and rotary shafts to accurately position the parts for precise measurement and alignment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual input of electronic part information is used, then the system can operate without complex recognition equipment, but the accuracy and efficiency of information input deteriorates due to measurement difficulties and repeated corrections
Solution Approach 1:
The patent replaces manual mechanical measurement methods with an automated optical recognition system. Sensors capture images of electronic parts, and image processing algorithms automatically extract dimensional information, eliminating the need for manual measurement tools like calipers and reducing measurement errors.
Solution Approach 2:
The system enables electronic parts to 'self-identify' their specifications through automatic recognition. The part information is extracted directly from images of the parts themselves, allowing the system to obtain accurate dimensional data without external manual intervention or complex preset databases.
2Productivity
If manual measurement and input of part specifications is performed, then equipment complexity is reduced, but productivity deteriorates due to time-consuming measurement and repeated corrections
Solution Approach 1:
The patent replaces time-consuming manual measurement processes with automated optical recognition. Sensors rapidly capture part images and processing algorithms immediately extract dimensional data, eliminating the sequential time loss of manual measurement, data entry, and correction operations.
Solution Approach 2:
The recognition system enables continuous operation by eliminating idle time between measurement and data entry. The automated system processes part information in real-time as parts are fed through the system, maintaining continuous productive action without the interruptions inherent in manual measurement and correction cycles.
3Reliability
If manual input of electronic part information is used, then device complexity is minimized, but reliability deteriorates due to input errors and repeated corrections
Solution Approach 1:
The patent replaces error-prone manual data entry with automated optical recognition and image processing. Sensors capture part images and algorithms automatically extract dimensional information, eliminating human errors in measurement reading, data transcription, and input, thereby significantly improving information reliability.
Solution Approach 2:
The system incorporates feedback mechanisms where the recognized part information is immediately verified and used to control subsequent mounting operations. This closed-loop approach ensures that accurate recognition data directly guides the mounting process, preventing errors from propagating and enabling immediate correction if recognition deviations are detected.
4Extent of automation
If automated recognition system is implemented, then measurement precision and productivity are improved, but device complexity increases due to additional sensors and processing units
Solution Approach 1:
The patent designs the recognition system with multi-functional sensors and processing units that can handle various electronic part types and specifications using the same hardware platform. The system is configured to recognize different part geometries, materials, and mounting requirements through software configuration rather than requiring separate dedicated equipment for each function.
Solution Approach 2:
The automated recognition system is divided into modular functional segments: image capture sensors, image processing units, data extraction algorithms, and control interfaces. This segmentation allows the system to achieve high automation through coordinated simple modules, making the complexity manageable and the system easier to maintain and upgrade compared to a monolithic design.
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 apparatus enables precise recognition and storage of electronic part information, reducing the need for manual input and repeated corrections, thereby improving the accuracy and efficiency of mounting electronic components on printed circuit boards.
Implementation Method 1
a vacuum suction nozzle configured to seat an electronic part on the main seating unit using vacuum suction
Data Source
AI summary
An apparatus for recognizing and processing information of electronic parts includes a seating unit on which electronic parts are seated and aligned and a part information processing unit disposed adjacent to the seating unit. The part information processing unit is configured to align the electronic parts using the seating unit, recognize a recognition surface of the electronic parts, obtaining part information of the recognized surface, and store the obtained part information.