FUD-16-R.SLASHQ
AI

The **FUD-16-R.SLASHQ** (often referenced as FUD-16-R/Q) is a high-performance **Fiber Optic Sensor Amplifier** manufactured by **TAKEX** (Takenaka Sensor Group). It is designed for precision industrial automation, utilizing fiber optic cables to detect small or fast-moving objects in environments where standard sensors cannot fit.
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### 1. Key Technical Specifications
| Feature | Specification |
| :--- | :--- |
| **Output Type** | NPN / PNP (Depending on specific wiring configuration) |
| **Response Time** | Ultra-high speed (approx. 20μs to 500μs depending on mode) |
| **Display** | Dual Digital Display (Threshold and Current Value) |
| **Supply Voltage** | 12 - 24V DC |
| **Light Source** | Red LED (Visible) |
| **Sensitivity Adjustment** | Teaching (Auto/Manual/Full Auto) |
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### 2. Core Electronic Components & Features
#### A. Dual Digital Display
The device features two distinct 4-digit LED displays.
- **Green Display:** Shows the set threshold (the value at which the sensor triggers).
- **Red Display:** Shows the real-time intensity of the received light.
#### B. Internal Circuitry (ASIC)
The "SLASHQ" variant utilizes an advanced ASIC (Application-Specific Integrated Circuit) that allows for:
* **High Resolution:** Capable of detecting minute changes in light intensity.
* **Mutual Interference Prevention:** Allows multiple sensors to be mounted side-by-side without optical cross-talk.
#### C. Output Protection
The electronic output stage is equipped with:
* **Short-circuit protection:** Prevents damage if the output wires are crossed.
* **Reverse polarity protection:** Safeguards the unit if the power supply leads are swapped.
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### 3. Connection and Wiring
The sensor typically uses a standard 4-wire configuration:
```yaml
Brown: +V (12-24V DC)
Blue: 0V (GND)
Black: Control Output (Load)
White: External Input (Remote Teaching or Bank selection)
```
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### 4. Operational Modes
The electronic logic of the FUD-16-R series allows for several "Teaching" modes:
1. **Full Auto Teaching:** Calibrates sensitivity while the production line is moving.
2. **Two-point Teaching:** Calibrates based on the presence and absence of a target.
3. **Positioning Teaching:** Specifically for high-accuracy edge detection.
- ⤷
How do you calibrate the FUD-16-R for transparent objects?
- ⤷ What is the difference between the R and G versions of this sensor?
- ⤷ Can this sensor be integrated into a PLC via IO-Link?