Sick IMM Series Inductive Barrel-Style Inductive Proximity Sensor, M4 x 0.5, 1 mm Detection, PNP Output, 10 → 30

Minimal space requirements paired with maximum performance characterize the IMM inductive proximity sensors. They allow the highest level of miniaturization without compromise. Thanks to the 3-fold sensing range up to 6 mm, IMM devices detect objects from a greater distance than before. Due to their small size, low weight and quick and precise switching behaviour, the IMM sensors are ideal for highly dynamic handling and assembly processes.

State-of-the-art ASIC technology enables the integration of a visual adjustment indicator as well as communication via IO-Link, version 1.1. This saves time for commissioning, reduces installation errors and turns the sensors into suppliers of data for future automation applications at the same time.

Design: M4 to M5, diameter: 3 mm to 6.5 mm
Extended sensing ranges: 0.6 mm to 6 mm
Electrical configuration: DC, 3-wire
Enclosure rating: IP67
Temperature range: –25 °C to +70 °C
Rugged stainless-steel housing, plastic sensing face
3-fold sensing ranges, visual adjustment indicator, IO-Link communication

Space-saving installation and significant flexibility in machine design thanks to the compact size
High positioning accuracy and precise switching behaviour for reliable detection of fast handling and assembly processes
Stable processes and high plant availability thanks to 3-fold sensing range
High detection sensitivity makes possible reliable detection of small objects
High degree of flexibility and communication options thanks to IO-Link
Simple mounting thanks to visual adjustment indicator
The low weight of the sensor enables fast acceleration in dynamic handling processes

Handling, assembly processes: positioning
Supply processes: detecting tiny components, counting
Small waves: speed monitoring, direction of movement detection
Gripper: position detection (gripper open or closed)
Linear or rotating gripper: positioning
CNC work piece changer and spindles: position detection