AI Race Timing With Computer Vision Instead of RFID Tags
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Solution Overview
Problem
Existing participatory endurance event systems face inefficiencies in data handling, requiring manual intervention and human oversight, with RFID-based systems being costly, environmentally harmful, and inaccurate in crowded conditions.
Innovation Solution
A computer vision-based system using facial recognition and QR codes, eliminating the need for RFID chips, streamlines participant identification and timing by leveraging cloud processing for data management and utilizing cameras and servers to capture and analyze facial features and bib numbers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If RFID chips are used for participant identification and timing, then participant tracking capability is improved, but system cost and environmental harm increase
Solution Approach 1:
The patent removes RFID chips from the system entirely, extracting the harmful electronic component while preserving the identification and timing function through alternative means (manual recording, visual observation, or simpler non-electronic tagging systems). This eliminates the environmental pollution and manufacturing complexity associated with RFID chips.
Solution Approach 2:
The patent employs disposable, non-electronic alternatives to RFID chips such as printed race bibs with unique identifiers, temporary physical tags, or simple visual markers that can be easily manufactured, distributed, and discarded without environmental harm. These replace the expensive and polluting RFID technology while maintaining participant identification capability.
2Device complexity
If manual intervention and spreadsheets are used for data handling, then system complexity is reduced, but productivity and efficiency deteriorate
Solution Approach 1:
The patent replaces manual mechanical data handling processes (paper spreadsheets, manual recording) with automated digital systems. This substitution eliminates manual intervention while maintaining simplicity, allowing efficient data collection, storage, and processing through software-based solutions that automatically track participant information, timing data, and race results without requiring human data entry or manipulation.
3Measurement precision
If RFID encoding and printing processes are used, then participant identification accuracy is improved, but manufacturing time and overhead increase
Solution Approach 1:
The patent performs identification data preparation in advance, pre-printing race bibs with unique identifiers, pre-configuring participant information in digital systems, and pre-organizing data structures before the event. This preliminary action eliminates time-consuming on-site encoding and data processing, allowing rapid participant identification and timing during the actual event without manual intervention.
Data Source
AI summary
A system for tracking competitors conducting a race on a track includes multiple object-recognition devices positioned to recognize objects at predetermined locations along the track. The object-recognition devices are configured to recognize at least one physical feature of each of the competitors. A processing device is configured to determine a time at which a competitor reached a selected one of the predetermined locations during the race based on object-recognition data from at least one of the object-recognition devices. A transmitter is configured to transmit to an output device the time at which the competitor reached the selected location during the race.