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Home » Automation and Controls » Sensors » Photoelectric Sensors » Sick 6049334 Optical Sensor

Sick 6049334 Optical Sensor

Mfr # 6049334

$1,309.08

/ea

Availability: Available to Order|Typically ships within 7 to 10 business days. Lead time may vary based on supplier availability.

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Elementor Single Product #2263

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  • Device version: Close
  • Sensor principle: Sender/receiver
  • Minimum detectable object (MDO): 2 mm, dynamic: 2 mm 1)
    6 mm, static: 6 mm
  • Beam separation: 2 mm
  • Detection height: 120 mm
  • Output function: Light/dark switching adjustable by means of rotary switch
  • High-precision line guidance sensor: Optimized for track detection and positioning tasks with exceptional accuracy.
  • High-precision line guidance sensor: Optimized for track detection and positioning tasks with exceptional accuracy.
  • Wide detection field: Covers large guiding lines with a 200 mm detection width and 120 mm field length.
  • Robust and compact design: Built to withstand industrial environments with durable housing and reliable operation.
  • Flexible integration: Easy to configure and implement into a wide range of automation and material handling systems.

The SICK FLG2-20012011 (part number 6049334) is a high-performance line guidance sensor designed to deliver precise and reliable track detection in demanding automation environments. With its wide 200 mm detection width and 120 mm field length, this sensor is specifically engineered to support advanced guidance and navigation applications, particularly in automated guided vehicles (AGVs), mobile robots, and intralogistics systems where continuous and stable line tracking is critical. Its optimized optical design ensures accurate recognition of guiding lines, even under challenging conditions such as varying floor surfaces, different contrast levels, or partial obstructions.

A standout feature of the FLG2-20012011 is its ability to combine precision detection with wide coverage. While many sensors may require narrow detection zones, this model provides a significantly larger field, enabling it to detect broad or multi-lane lines effectively. This reduces the need for constant fine adjustments and allows smoother navigation, making it ideal for high-speed or heavy-duty mobile systems. Its advanced evaluation algorithms also ensure consistent performance by minimizing false detections caused by background patterns or lighting variations.

Durability and reliability are central to the FLG2-20012011’s design. Its robust housing and high-quality components are engineered to withstand industrial environments, ensuring stable long-term operation. This makes it suitable for deployment in manufacturing plants, warehouses, and logistics centers where continuous use and harsh conditions are part of daily operations. The sensor also maintains dependable performance in environments subject to vibration, dust, or varying light, reinforcing its value in mission-critical automation.

Integration into existing automation systems is straightforward thanks to its flexible configuration options and compatibility with common industrial control platforms. The sensor provides clear output signals that can be easily interpreted by navigation controllers, enabling fast commissioning and seamless operation. Its compact form factor ensures it can be installed in space-restricted areas without sacrificing performance. Additionally, the FLG2 series is known for reducing downtime through simplified maintenance, ensuring operators can achieve maximum uptime and efficiency in guided applications.

In summary, the SICK FLG2-20012011 delivers a powerful combination of wide detection capability, precise guidance accuracy, rugged industrial design, and easy system integration. It is a trusted choice for modern AGVs, mobile robots, and material handling solutions where dependable and accurate line guidance is essential. By ensuring smooth navigation and operational reliability, this sensor supports higher productivity and efficiency across diverse industrial applications.

Manufacturer

Sick

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