During technical comparisons, PRO2-P100B25A1 appears alongside Sick Diffuse Sensor, Sick Dt35 B15551 and Sick Distributors In India so engineers assess signal types, ingress protection, and ambient tolerances accurately.
PRO2-P100B25A1: 6052873 - Sick Dual LED Indicator Sensor
The Sick PRO2-P100B25A1 Distance Sensor operates using a 12–24 V DC supply and ≤180 mA power consumption for reliable performance. It includes a zinc diecast housing, polycarbonate window, dual LED indicators, and a 12-pin HRS connector for I/O and power integration. With IP67 protection and dimensions of 40 mm × 94.5 mm × 60 mm, it is suitable for demanding environments. Explore Sick, view Sick Distance Sensors, and check the Sick DT Series.
| Brand | Sick |
| Product Type | Distance Sensor |
| Product | PRO2-P100B25A1 |
Sick Dual LED Indicator Sensor PRO2-P100B25A1, 6052873 Technical Specifications:
| Specification | Value |
|---|---|
| Supply voltage Vs | DC 12 V (–5 %) ... DC 24 V (+10 %) 1) |
| Ripple | - |
| Power consumption | ≤ 180 mA |
| Initialization time | - |
| Housing material | Metal (zinc diecast) |
| Window material | Plastic (Polycarbonat (PC)) |
| Connection type | Female connector, HRS, 12-pin (I/O, power supply) |
| Indication | 2 LEDs (operational status, Laser on/off) |
| Dimensions (W x H x D) | 40 mm x 94.5 mm x 60 mm |
| Enclosure rating | IP67 |
| Weight | 300 g |
The PRO2-P100B25A1 is a rugged and high-performance Distance Sensor designed by Sick to meet the accuracy and durability requirements of advanced industrial environments. It operates within a stable supply voltage range of DC 12 V (–5%) to DC 24 V (+10%), ensuring compatibility with a variety of automation power systems. Its low power consumption of ≤ 180 mA contributes to overall energy efficiency while supporting sustained sensor uptime in high-cycle processes.
This sensor is housed in a robust zinc diecast metal body, providing excellent resistance to mechanical stress, corrosion, and vibration. Its optical window is constructed from high-quality polycarbonate (PC), designed to shield the internal optics from dust, oil, and other contaminants often found on industrial shop floors. Measuring 40 mm x 94.5 mm x 60 mm and weighing 300 g, it offers a stable, heavy-duty form factor suitable for installation in stationary or mobile applications. The HRS 12-pin female connector ensures seamless integration into existing control systems for both power and I/O communication.
Notably, the sensor includes dual LEDs—one for operational status and another for laser activation—providing immediate visual confirmation of working conditions and signal activity. With an IP67 enclosure rating, the PRO2-P100B25A1 is completely sealed against dust ingress and water spray, ensuring longevity even in washdown zones or exposed locations. Trusted by automation engineers worldwide, this Sick model is ideal for machine builders, system integrators, and factory maintenance teams focused on precision, safety, and uptime.
The Sick WL4S-3F2130 Photoelectric Sensor is ideal for high-speed detection of small, transparent, or reflective objects in automated manufacturing environments. Common applications include part counting, package verification, and positioning systems where reliability and quick switching are essential.
Widely used in Indian factories, this sensor is praised for its compact size, fast response time, and built-in LED alignment indicators, which reduce setup time and make it easy for even junior technicians to configure correctly. It works seamlessly in dusty, humid, and high-vibration environments, such as bottling plants, assembly lines, or pharmaceutical units, where conventional sensors may fail due to interference or poor ambient conditions.
For engineering students and automation trainees, the WL4S-3F2130 is a hands-on example of modern photoelectric sensing. It teaches critical concepts like beam focus, background suppression, and reliable signal switching. With Sick’s industry-trusted build quality and performance consistency, this sensor is an essential tool in both real-world automation and technical education scenarios.
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