VL53L7CX performance issues in enclosed ceramic environment (toilet bowl) - "Low Confidence" during object drop
- July 2, 2026
- 0 replies
- 10 views
Hi,
I am developing an object detection system using the sensor, integrated inside the inner wall of a toilet bowl to detect falling waste. I am experiencing persistent "Low Confidence" issues, and I am looking for expert advice on whether this is an inherent physical limitation or a configuration issue.
Current Setup & Environment:
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Environment: Actual toilet bowl (highly reflective curved ceramic surfaces).
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Hardware Integration: The sensor is mounted behind a cover glass, and an active NIR/Visible fill light is installed inside the bowl to assist a separate camera system.
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Configuration:
VL53L7CX_RANGING_MODE_AUTONOMOUS@ 60Hz.
The Phenomenon:
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Static/Idle State: Even in this real-world environment (with cover glass and fill light), the sensor produces some "Low Confidence" data points even when nothing is happening.
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Dynamic Event (Object Drop): When an object is dropped, the frequency of "Low Confidence" reports increases significantly, often rendering the detection logic unreliable.
My Technical Questions:
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Root Cause Analysis: Given that "Low Confidence" exists even in the static state, is it likely that the cover glass (internal cross-talk) and fill light (optical saturation/background noise) have already pushed the sensor to its SNR limit? Does the dynamic drop event simply saturate the already compromised signal?
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Software Mitigation: With a 60Hz capture rate, is there any software-level optimization possible? Can adjusting the
Timing BudgetorSharpenerthreshold help recover signal integrity in this high-noise environment? -
Feasibility: Is the VL53L7CX fundamentally unsuitable for this specific application (high-reflectivity ceramic enclosure + active fill light interference)? Or is there a more robust way to process the data (e.g., histogram analysis) to differentiate the object reflection from the background noise?
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Hardware Best Practices: Are there any recommended hardware modifications for such confined spaces, such as specific optical filters (e.g., 940nm bandpass) or mechanical sealing techniques to isolate the sensor from the fill light?
I would appreciate any guidance on whether to continue optimizing the firmware parameters or if this application exceeds the physical capabilities of the current hardware setup.
