Twisted Pair Cable Crimping With AI Wire Count Calibration
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Solution Overview
Problem
Existing crimping technologies face challenges in accurately positioning conductor cores of twisted pair cables due to positional deviations and potential damage to fine conductive wires, leading to unstable crimping quality and difficulty in identifying the actual number of conductive wires, which affects the quality of twisted pair cable products.
Innovation Solution
A twisted pair cable crimping system utilizing an artificial intelligence vision device to recognize the actual positions and number of conductive wires, a position calibration device to correct positional deviations, and a crimping device with movable and fixed molds to ensure precise crimping, along with a removal mechanism for unqualified cables.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a guiding structure is used to guide the conductor core to the correct crimping position, then the positioning accuracy is improved, but the reliability of positioning is worsened due to unavoidable positional deviations in twisted pair cable processing
Solution Approach 1:
The system performs preliminary detection of the conductor core position and fine conductive wire count before crimping. The AI vision device captures images and identifies the actual positions of conductor cores and the number of fine conductive wires, allowing the system to pre-adjust the crimping position and detect potential quality issues before the crimping operation occurs.
Solution Approach 2:
The patent replaces traditional mechanical guiding structures with an AI vision-based detection and control system. Instead of relying solely on physical guides that cannot compensate for positional deviations, the system uses image recognition to detect actual positions and uses this information to control the crimping device, achieving more reliable positioning despite manufacturing variations.
2Device complexity
If traditional detection methods are used, then the device complexity is reduced, but the ability to identify the actual number of fine conductive wires is worsened
Solution Approach 1:
The patent replaces complex manual inspection methods with an AI vision device that automatically detects and counts fine conductive wires. The AI algorithm processes images to identify and count the wires, providing accurate detection without requiring complex mechanical detection apparatus. This substitution of mechanical/d manual methods with intelligent vision technology resolves the contradiction between simplicity and detection capability.
Solution Approach 2:
The AI vision device acts as an intermediary between the fine conductive wires and the detection system. Instead of directly measuring or counting the wires through complex mechanical means, the system captures optical images and uses AI algorithms to interpret the visual information, effectively mediating the detection process and achieving accurate wire count identification.
3Quantity of substance
If manual inspection is used to check the number of fine conductive wires, then the cost is reduced, but the productivity is worsened due to time-consuming inspection processes
Solution Approach 1:
The AI vision device enables continuous detection and counting of fine conductive wires without interrupting the production flow. The system can process images and identify wire counts in real-time as cables move through the production line, eliminating the need for stopping production for manual inspection and maintaining continuous productive action.
Solution Approach 2:
The patent replaces time-consuming manual inspection with automated AI vision-based detection. The AI algorithm rapidly processes images to determine the number of fine conductive wires, providing results much faster than manual counting and significantly improving production efficiency without sacrificing inspection thoroughness.
Data Source
AI summary
A twisted pair cable crimping system includes a cable fixture clamping and fixing a twisted pair cable, each conductor core of a pair of conductor cores of the twisted pair cable has a plurality of fine conductive wires twisted together, a moving device moving the cable fixture and the twisted pair cable in a horizontal direction perpendicular to an axial direction of the twisted pair cable, and an artificial intelligence vision device installed at a detection station and recognizing an actual number of fine conductive wires in each conductor core of the twisted pair cable. The artificial intelligence vision device determines that a quality of the twisted pair cable is unqualified if the actual number of fine conductive wires of at least one conductor core of the pair of conductor cores recognized by the artificial intelligence vision device is not equal to a predetermined number.