# Sick Cylindrical Photoelectric Sensor V18 6013626 - Industrial Automation

The **Sick Cylindrical Photoelectric Sensor V18 6013626** is a robust solution designed for precise object detection in demanding industrial automation environments. This sensor ensures reliable performance in applications requiring accurate sensing capabilities, offering enhanced operational efficiency and control. Its advanced technology provides a dependable means for monitoring and managing automated processes, making it a valuable component for modern manufacturing and logistics.

Engineered for industrial use, the **Sick V18 6013626** sensor integrates seamlessly into various control systems. It is built to withstand challenging conditions, delivering consistent accuracy and longevity. Ideal for users seeking dependable detection within automated workflows, this sensor supports critical automation tasks with its reliable functionality. The **Sick 1028909** part number represents a commitment to quality and performance in industrial sensing technology.

-   **High-precision detection** for accurate object identification.
-   **Durable cylindrical housing** built for industrial environments.
-   **Reliable performance** in automated manufacturing and logistics.
-   **Seamless integration** with existing control systems for easy implementation.
-   **Efficient operation** contributing to overall system productivity.

## Details

- **Price:** 999.0 USD
- **Vendor:** Sick
- **Type:** Automation > Sensors > Photoelectric Sensors
- **Tags:** 1028909, 6013626, automation components, control systems, cylindrical sensor, industrial automation, object detection, Sick photoelectric sensor, Sick V18

## Variants

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

## Images

- Sick Cylindrical Photoelectric Sensor V18 6013626 - Industrial Automation-Ram Automations

---

> Source: [Ram Automations](https://ramautomations.com/products/sick-cylindrical-photoelectric-sensor-v18-6013626)
> Updated: 2026-09-27