Sick WTF12-3P2441 Photoelectric Sensor

The Sick WTF12-3P2441 Photoelectric Sensor features a precise foreground suppression mechanism, enabling it to detect objects reliably within a sensing range of 30 mm to 500 mm. It uses a visible red LED light source operating at a wavelength of 640 nm, with a focused Ø 7 mm light spot at 300 mm to ensure consistent target acquisition even on challenging surfaces. With 5-turn potentiometer adjustment, engineers can fine-tune the detection threshold to suit different object sizes and distances. The sensor is equipped with complementary PNP digital output and supports both light and dark switching modes for flexibility in diverse control systems.

Operating on a supply voltage of 10 V to 30 V DC and consuming just 45 mA, this sensor is energy-efficient and easy to integrate. Its response time of ≤ 330 µs and high switching frequency of 1,500 Hz make it well-suited for high-speed applications. The rugged metal rectangular housing (dimensions: 15.6 mm × 48.5 mm × 42 mm) is sealed to IP66, IP67, and IP69K standards, ensuring reliable operation in washdown zones, dusty warehouses, or outdoor setups. The M12, 4-pin male connector supports quick and secure electrical installation. Built for tough industrial environments, the WTF12-3P2441 is a trusted choice across factory floors, inspection stations, and material handling lines. .

The Sick WL4S-3F2130 Photoelectric Sensor is designed to detect small components with high precision, even in areas with limited space. It’s commonly used in automated pick-and-place systems, compact conveyors, and quality inspection setups. Maintenance teams find it useful for identifying the presence or absence of items like electronic parts, labels, or fasteners.

Thanks to its fast response time and stable sensing even on low-reflective or semi-transparent surfaces, this sensor plays a crucial role in ensuring error-free operations. In factories that demand speed and accuracy, such as electronics assembly or food packaging, the WL4S-3F2130 ensures processes stay on track. It’s also a great learning tool for engineering students to understand practical applications of sensing in real-world automation.