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Best Sensors for Accurate Car Detection in Real Car Time Lap Racing Project

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  • #1 21667245
    ali Aburamya
    Anonymous  
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  • #2 21667246
    Steve Lawson
    Anonymous  
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  • #3 21667247
    Steve Lawson
    Anonymous  
  • #4 21667248
    Mark Harrington
    Anonymous  
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  • #5 21667249
    Mark Harrington
    Anonymous  
  • #6 21667250
    Steve Lawson
    Anonymous  
  • #7 21667251
    Mark Harrington
    Anonymous  
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  • #8 21667252
    Steve Lawson
    Anonymous  
  • #9 21667253
    Steve Lawson
    Anonymous  
  • #10 21667254
    Steve Lawson
    Anonymous  
  • #11 21667255
    Steve Lawson
    Anonymous  
  • #12 21667256
    ali Aburamya
    Anonymous  
  • #13 21667257
    ali Aburamya
    Anonymous  
  • #14 21667258
    Steve Lawson
    Anonymous  
  • #15 21667259
    Steve Lawson
    Anonymous  

Topic summary

The discussion focuses on selecting precise sensors for detecting car movement in a real-time lap racing project involving two cars on a single track with separate start lines. Suggested sensor types include infrared or visible light "electric eye" beam systems with either opposite-side sender and receiver or same-side sender/receiver with a retroreflector to reduce stray light interference. Pneumatic switches, metal detectors (inductive coils), video cameras with motion detection, and RFID systems are also considered. RFID offers unique car identification but typically has short range (e.g., RDM630 with 5-10 cm range), raising concerns about detection consistency and timing precision. Bar code readers were proposed but questioned for speed capability. Railway track circuit analogies were discussed, where steel wheels complete an electrical circuit for detection, but this is not applicable to typical car wheels. The consensus leans toward a laser or modulated IR beam across the track as the most reliable method for precise timing, with metal detectors as a secondary option if cars pass consistently over coils. Reflectors improve beam reliability, but car body reflections may cause false signals. Overall, the best solution balances detection accuracy, timing precision, and practical installation constraints.
Summary generated by the language model.
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