# Sick W2 Slim Photoelectric Sensor 1022664 E6C3-AN5B 32P/R 2M

The Sick W2 Slim miniature photoelectric sensor, model number 1022664 and part number E6C3-AN5B 32P/R 2M, offers highly reliable object detection for demanding industrial automation applications. Its compact design and advanced sensing technology ensure efficient performance in confined spaces, making it ideal for automated assembly lines packaging systems and material handling. Experience enhanced operational accuracy and reduced downtime with this robust sensing solution.

Engineered for precision and durability the Sick W2 Slim photoelectric sensor operates seamlessly within complex control systems. It provides consistent and accurate data crucial for maintaining the integrity of automated processes. Whether used for presence detection part verification or quality control this sensor delivers the performance required for modern industrial environments. Its robust construction guarantees longevity even under continuous operational stress.

-   **Compact Design**: Ideal for space-constrained industrial automation setups.
-   **High-Reliability Detection**: Ensures accurate object sensing for critical processes.
-   **Durable Construction**: Built to withstand harsh industrial environments.
-   **Versatile Application**: Suitable for a wide range of automation and control tasks.
-   **Efficient Performance**: Delivers consistent and precise sensing capabilities.

## Details

- **Price:** 999.0 USD
- **Vendor:** Sick
- **Type:** Industrial Automation > Sensors > Photoelectric Sensors
- **Tags:** 1022664, automation components, control systems, E6C3-AN5B 32P/R 2M, industrial automation, object detection, photoelectric sensor, Sick sensor, W2 Slim

## Variants

| Variant | Price | Available |
|---------|-------|-----------|
| Default Title | 999.00 USD | In stock |

## Images

- Sick W2 Slim Photoelectric Sensor 1022664 E6C3-AN5B 32P/R 2M-Ram Automations

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> Source: [Ram Automations](https://ramautomations.com/products/sick-w2-slim-sensor-1022664)
> Updated: 2026-10-10
