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capacitance sensors  (Decagon Devices)

 
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    Structured Review

    Decagon Devices capacitance sensors
    Capacitance Sensors, supplied by Decagon Devices, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/capacitance+sensors/capacitance+sensors/pmc13143964-128-0-4
    Average 86 stars, based on 1 article reviews
    capacitance sensors - by Bioz Stars, 2026-11
    86/100 stars

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    Related Articles

    other:

    Article Title: Low-Cost Soil Moisture Profile Probe Using Thin-Film Capacitors and a Capacitive Touch Sensor
    Article Snippet: For example, the capacitance sensors commercialized by Decagon Devices Inc. (Pullman, WA, USA) are known to be relatively inexpensive and reliable, and these sensors have been widely used in recent scientific research [ , , ].

    Article Title: Macrocystis pyrifera seaweed extracts combined with Pseudomonas koreensis enhance growth and stomatal regulation in the sweet cherry rootstock ‘Colt’ under contrasting water conditions
    Article Snippet: Capacitance sensors (model GS1, Decagon Devices, Pullman, WA, USA) installed in the pots at a depth of approximately 10 cm were used for this purpose.



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    Image Search Results


    Custom Sensor design for liquid level sensing. The image shows the custom sensor design that has been implemented on a flexible printed circuit board (PCB) to measure the liquid level inside the bottle. The FDC1004 chip has been placed on the board for capacitive liquid sensing and labeled as U1. Two pull-up resistors for I 2 C signals have been mounted on flexible PCB, whereas C3 and C4 are decoupling capacitance. The P2 has 4 male pins for power supply and the I 2 C signals.

    Journal: Biosensors

    Article Title: A Microcontroller-Based Device for Liquid Intake and Lick Analysis in Rodents

    doi: 10.3390/bios16050268

    Figure Lengend Snippet: Custom Sensor design for liquid level sensing. The image shows the custom sensor design that has been implemented on a flexible printed circuit board (PCB) to measure the liquid level inside the bottle. The FDC1004 chip has been placed on the board for capacitive liquid sensing and labeled as U1. Two pull-up resistors for I 2 C signals have been mounted on flexible PCB, whereas C3 and C4 are decoupling capacitance. The P2 has 4 male pins for power supply and the I 2 C signals.

    Article Snippet: The proposed system uses an FDC1004 capacitive sensor (Texas Instrument, USA) which has 4-channel capacitances to a digital converter for implementing capacitive sensing.

    Techniques: Labeling

    (a–d) Computer-aided design (CAD) renderings showing the modular enclosure, camera mount, and removable front panel. (e) Top-mounted USB3 machine-vision camera with visible and 850 nm infrared (IR) LED illumination for light and dark recordings. (f–g) Configurable arena fixtures for pellet wells and capacitive lickometers supporting fluid-access or operant tasks. (h) System wiring diagram linking the NVIDIA Jetson Orin Nano Super (6-core ARM CPU, 1024 CUDA cores, 32 tensor cores, 8 GB LPDDR5, 67 INT8 TOPS) to an RP2040 controller and MPR121 capacitive sensors. (i) Example configuration showing a two-bottle choice and fixed-ratio 1 (FR1) feeding task. Each unit operates as an independent edge device performing on-board YOLO inference, sensor synchronization via TTL, and bidirectional task control—enabling scalable, low-cost, networked behavioral experiments without workstation-grade GPUs.

    Journal: bioRxiv

    Article Title: SqueakPose Studio: An end-to-end platform for pose estimation and real-time edge-AI deployment

    doi: 10.64898/2026.01.24.700912

    Figure Lengend Snippet: (a–d) Computer-aided design (CAD) renderings showing the modular enclosure, camera mount, and removable front panel. (e) Top-mounted USB3 machine-vision camera with visible and 850 nm infrared (IR) LED illumination for light and dark recordings. (f–g) Configurable arena fixtures for pellet wells and capacitive lickometers supporting fluid-access or operant tasks. (h) System wiring diagram linking the NVIDIA Jetson Orin Nano Super (6-core ARM CPU, 1024 CUDA cores, 32 tensor cores, 8 GB LPDDR5, 67 INT8 TOPS) to an RP2040 controller and MPR121 capacitive sensors. (i) Example configuration showing a two-bottle choice and fixed-ratio 1 (FR1) feeding task. Each unit operates as an independent edge device performing on-board YOLO inference, sensor synchronization via TTL, and bidirectional task control—enabling scalable, low-cost, networked behavioral experiments without workstation-grade GPUs.

    Article Snippet: Capacitive sensing for fluid intake was handled via Adafruit MPR121 12-key capacitive touch sensors, communicating with the RP2040 over I2C.

    Techniques: Control