Application-driven sensing
Sensor selection starts with the physical variable, target material, range, mounting geometry, response requirement and operating environment—not with a catalogue family.
Primionics supports engineering teams in India with application-led selection of ifm position and process sensors, IO-Link technologies, condition monitoring, vision, identification and rugged automation components for machines, utilities and connected production systems.
The page focuses on the engineering categories most relevant to machine automation, process monitoring, maintenance and data-enabled production rather than attempting to reproduce the complete ifm catalogue.
Sensor selection starts with the physical variable, target material, range, mounting geometry, response requirement and operating environment—not with a catalogue family.
IO-Link carries process data, parameters, identification and diagnostic information between compatible field devices and masters; controller, network and higher-level integration remain system-design decisions.
Condition monitoring, vision and identification should be specified from the machine decision or diagnostic evidence they must support, including timing, repeatability and data-retention requirements.
Inductive, capacitive, magnetic, photoelectric, ultrasonic and distance sensors for non-contact object, position, level and distance detection on machines and production equipment.
Explore technologyPressure, flow, level and temperature sensing for hydraulics, pneumatics, cooling circuits, utilities, tanks and process skids, with device families supporting switching, analogue and IO-Link data.
Explore technologyIO-Link masters and field modules connect sensor process values, parameters, identification data and diagnostics to PLC and higher-level systems while retaining standard sensor/actuator wiring concepts.
Explore technologyVibration sensors, transmitters and diagnostic electronics support continuous machine-condition assessment for rotating assets such as motors, pumps, fans, gearboxes and spindles.
Explore technology2D/3D vision, object recognition, identification and code-reading technologies support inspection, presence verification, localisation, traceability and machine-guidance applications.
Explore technologySafety sensing, mobile-machine control, rugged I/O, displays and IIoT connectivity extend field data into machine protection, mobile equipment and edge-level monitoring architectures.
Explore technologyPosition, presence, distance and object-detection sensors support conveyors, fixtures, actuators, tooling, part handling and automated assembly.
Pressure, flow, temperature and level measurement support cooling, hydraulics, pneumatics, water circuits, lubrication and auxiliary systems.
Vibration and operating-condition data support early detection of imbalance, bearing degradation, looseness and other changes in rotating machinery.
IO-Link, field modules and IIoT interfaces make selected process and diagnostic data available to PLC, maintenance and plant-data systems.
Define target material, sensing distance, process medium, measuring range, accuracy, repeatability and response time.
Confirm mounting, enclosure, connector, temperature, vibration, ingress protection and washdown or hygienic requirements.
Select switching, analogue or IO-Link outputs together with supply, load, diagnostics and field-module architecture.
Define which process values, parameters, events and diagnostics are required by the PLC, maintenance system or higher-level application.
IO-Link provides bidirectional digital communication between compatible sensors or actuators and an IO-Link master. It can carry process values, parameters, identification and diagnostic information while the master interfaces to the controller or higher-level network.
Many ifm IO-Link devices provide multiple process values or additional device information from a single field connection. The available values depend on the specific device family and IODD.
ifm offers vibration sensors, transmitters and diagnostic electronics for rotating-machine condition monitoring. Selection depends on the machine type, frequency range, mounting point, diagnostic objective and whether local or central analysis is required.
Yes. The current ifm portfolio includes image-processing and identification technologies in addition to conventional sensing. The correct route depends on whether the task is presence detection, dimensional/3D evaluation, code reading, object identification or machine guidance.
Start with the application variable and physical target, then confirm range, mounting, environment, switching or measurement behaviour, electrical interface, required diagnostics and compatibility with the controller or IO-Link architecture.