Machine vision solutions - Vision sensors

In automation technology, machine vision solutions are an integral part of assembly and manufacturing tasks, as well as quality control. In a robust, industrially compatible housing, they combine lighting, lens, camera chip, evaluation and process connections for the integration in the higher-level controller.
The O2D object recognition sensor with orientation-independent contour verification solves tasks like presence and position monitoring, quality control and sorting and counting tasks. It is ideal in applications where the object’s shape is repeatable and defined.
The O2V object inspection sensor is used for presence and completeness checks, position, size and quality control, and sorting tasks. It is ideal for applications where the objects vary in shape, size or shade.
Application areas of the O2I multicode reader range from product tracking and product control to product identification. The sensor can read 1D and 2D codes regardless of their position.

Machine vision sensor FAQs

 

What are the four types of machine vision systems?

Our machine vision systems map to four categories: O2I code readers for identification; O2D object recognition for contour‑based checks; Dualis O2D for object inspection (contour + BLOB); and O2U universal 2D for combined identification and measurement. This portfolio aligns capabilities with real requirements on manufacturing lines in industrial automation.

What are machine vision examples?

Examples include expiry‑date OCR and serialisation, label presence/orientation checks, and combined contour verification with code reading. In the packaging industry, O2U simultaneously verifies label placement while reading characters, supporting traceability with one pass of images. Results accelerate disposition decisions and reduce rework across stations and systems

What is the difference between LiDAR and machine vision?

LiDAR measures distance with lasers; ifm’s camera‑based vision systems use an integrated camera system and image sensors to analyze 2D imagery for quality and identification. Our approach prioritizes detection of bad parts, throughput efficiency, and deterministic pass/fail—ideal for line control—rather than navigation or mapping typical of LiDAR deployments.
 

What is a machine vision sensor?

An ifm machine vision sensor integrates optics, illumination, processing, and interfaces in a compact housing. A machine vision image sensor captures the scene; embedded logic evaluates contours, BLOBs, and OCR. Results publish via IO‑Link, PROFINET, EtherNet/IP, or TCP/IP—simplifying deployment without external PCs.

How does a machine vision system work?

The sensor acquires images with internal lighting, processes them locally, and returns results to control. Triggers can be binary or network‑based; continuous capture is supported. Tunable exposure time and multi‑image capture stabilize reading on moving objects and high speed applications, ensuring consistent output for downstream operations.

How dos a vision sensor work?

Dualis and O2U illuminate, capture at high resolution, and evaluate with robust algorithms. Multi‑exposure, polarisation filters, and ROI monitoring maintain signal quality in changing light, allowing for high-performance decisioning at line speed, enabling reliable orientation, presence, and surface assessments in demanding environments.

Whats is the difference between object recognition and object inspection in machin vision?

Object recognition confirms presence and pose against a reference contour (O2D). Object inspection evaluates surfaces and features via BLOB, contrast, size, orientation, and counts (Dualis). When you need both—plus identification—O2U consolidates functions, avoiding a single function design and minimizing integration complexity.

What types of codes can ifm multicode reders identify?

O2I reads 1D/2D codes and performs optical character recognition. It can decode multiple symbols per frame, even on reflective backgrounds, and compare text with adjacent code content. Applications span printed, etched, and laser marked identifiers across varied materials.

How do I integrate an ifm vision sensor with my existing automation system?

Connect via IO‑Link (COM3), PROFINET, EtherNet/IP, or TCP/IP. Configure with one‑button teach or ifm Vision Assistant; clone setups using the ifm memory stick. Flexible data mapping supports scalable solutions across cells and lines within a unified camera system architecture.

Are ifm vision sensors suitable for harsh industrial environments?

Yes. Robust housings, integrated illumination, and polarisation options handle shiny metals and changing light. Multi‑image strategies with varied exposure time sustain read stability, while ROI and parameter monitoring maintain process capability during continuous operations.

How accurate are ifm vision sensors for quality control applications?

Dualis fuses contour and BLOB analysis; O2I adds OCR and code verification; O2U unifies both. This architecture reduces escapes, flags bad parts earlier, and improves efficiency on manufacturing lines—especially where consistent, deterministic results are more valuable than raw pixel counts

Can one sensor perform both object recognition and code reading?

Yes. O2U executes 1D/2D/OCR while performing contour and surface checks. It tracks position via anchor functions and can report pose to automation controllers, consolidating code readers and inspectors into one device.

What makes the O2I multicode reader easy to set up?

A one‑button teach sets focus, exposure, and code type automatically. For advanced workflows, Vision Assistant provides sequential control and multi‑code auto‑find. The O2I remains “as simple as a sensor,” yet supports OCR, multi‑image capture, and IO‑Link/Ethernet outputs

How does the Dualis simplify inspection?

Dualis combines contour and BLOB analysis, application wizards, and ROI/health monitoring. Flexible illumination—including polarisation—adapts to changing conditions. Fast backups and swap‑outs via ifm memory stick minimize downtime while preserving parameters and reference images.

What does the O2U add beyond code reading and inspection?

O2U unifies OCR/code reading, contour analysis, and surface evaluation with anchor functions for position tracking. It supports binary or command triggers, continuous capture, and robot‑aligned outputs for in‑process measurement. For higher integration, see the O2U5—two vision sensors in one for simultaneous identification and inspection.