- Functional principle: Photoelectric retro-reflective sensor
- Functional principle detail: With minimum distance to reflector (dual lens system)
- Dimensions (W x H x D): 16.2 mm x 45.5 mm x 31.8 mm
- Housing design (light emission): Hybrid
- Thread diameter (housing): M18
- Mounting system type: M18, head/side (24.1 … 25.4 mm)
- High-performance background suppression technology: Provides reliable detection of objects regardless of color, surface finish, or reflectivity, ensuring consistent results in demanding environments.
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- Brand: Sick
Sick 1100283 Photoelectric retro-reflective sensor
Mfr # 1100283
$181.69
/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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- High-performance background suppression technology: Provides reliable detection of objects regardless of color, surface finish, or reflectivity, ensuring consistent results in demanding environments.
- Compact and durable housing design: Built with a robust metal body that withstands vibration, shock, and harsh industrial conditions while maintaining long-term stability.
- Precise green light emission for accurate sensing: Uses a highly visible green LED light spot that enhances detection accuracy on reflective or transparent objects.
- Flexible installation with multiple connection options: Supports standardized electrical interfaces and mounting configurations, allowing easy integration into existing automation systems.
The Sick HL18G-F4B3BM photoelectric sensor, part number 1100283, is designed to deliver outstanding reliability, accuracy, and robustness for industrial automation tasks. As part of Sick’s proven HL18 series, this sensor embodies high-performance optical technology combined with a rugged build, making it ideal for challenging environments where precision detection is critical.
One of the key strengths of the HL18G-F4B3BM is its background suppression functionality, which allows it to detect objects precisely without interference from surrounding surfaces or environmental factors. This ensures that even when reflective machinery or complex backgrounds are present, the sensor remains stable and avoids false triggering. Such capability makes it an excellent choice for applications in packaging lines, material handling, robotics, and logistics systems.
The sensor is equipped with a green LED light spot, a feature that sets it apart from conventional red-light models. Green light enhances visibility and enables accurate detection of objects that are otherwise difficult to sense, such as transparent, shiny, or color-intense materials. This makes the HL18G-F4B3BM especially effective in industries dealing with plastics, glass, or highly polished surfaces.
Durability is another hallmark of this model. Its compact yet rugged housing ensures reliable performance even in dusty, humid, or vibration-prone environments. The sensor can endure continuous operation in demanding industrial conditions, reducing downtime and maintenance costs. Additionally, it comes with robust electrical connections and standardized mounting options, allowing for quick setup and seamless integration into new or existing systems.
From a functional standpoint, the HL18G-F4B3BM offers high repeat accuracy and consistent switching behavior, which are essential for quality assurance and process stability. Whether it is used for precise part positioning on conveyor systems, presence detection in automated machinery, or monitoring tasks in assembly lines, the sensor delivers reliable results that enhance operational efficiency.
Overall, the Sick HL18G-F4B3BM is a sensor built for modern industrial challenges. It combines advanced optical sensing technology, superior mechanical durability, and flexible installation options, making it a versatile solution for manufacturers seeking dependable object detection. By reducing errors, minimizing downtime, and providing robust performance, this sensor contributes significantly to improved productivity and process reliability.
Product Specifications
| Manufacturer | Sick |
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