Image-based code reader Lector83x – SICK

The Lector83x image-based code reader from SICK offers high reading performance at medium reading distances and is easy to integrate into industrial networks. The compact camera has a resolution of 3 or 5 megapixels, a large depth-of-field control, and a wide field of view. In addition to high-performance multi-core processing, dual-port fieldbus, and multiple interfaces, the compact design reduces the number of required devices and installation effort at reading stations.
Using AI-based segmentation, the camera also identifies damaged codes at conveyor speeds of up to 2.5 m/s and correctly assigns them to objects. The Lector83x can be intuitively configured using a web server and is ready for use within a few minutes – even without specialist knowledge.

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Features

AI-based segmentation, superresolution, multi-core CPU;
Large depth-of-field, and wide field of view;
Resolution of 3 or 5 megapixels with various lenses and different illumination colors;
Intuitive application-based configuration via web server;
Three-dimensional assignment of codes to objects;
Ethernet-based industrial communication interfaces (e.g. PROFINET, EtherNet/IP);
Dual-port fieldbus and DIOs.

Advantages

High camera resolution for precise reading and evaluation of even small codes on large surfaces;
High sorting rate and less manual rework thanks to the high read rate, regardless of the code quality;
High-performance decoder and processor for high throughput with short working distances;
Flexible integration into industrial networks and PLCs via Ethernet-based fieldbuses;
Easy commissioning thanks to the intuitive application;
High flexibility in a small space: coverage of large areas with a single camera – a small number of devices and components required.

Applications

Automotive: tire identification;
CEP industry: identification (e.g., for letters, parcels, flats);
Packaging industry: multi-code identification on primary and secondary packaging;
Retail and warehousing: identification in sorting and picking processes, recording of incoming and outgoing goods.

F.Fonseca is the representative of SICK in Portugal.