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Industrial Automation
MultiScan100-S 3D LiDAR sensor – SICK
MultiScan100-S is a 3D LiDAR sensor from SICK with performance level b according to ISO13849 that has been specially designed for outdoor use. With its large three-dimensional field of view, the sensor solves complex automation tasks in a wide range of dynamic applications. The precise, safe measurement data forms the basis for numerous individual safety functions. The integrated 3D protective field evaluation makes it possible to avoid collisions between mobile machines and people or objects. The function can be easily integrated into safety controllers with the help of digital outputs. Thanks to its rugged housing, intelligent filter algorithms and safe multi-echo technology, the multiScan100-S from SICK offers high reliability even in challenging ambient conditions.
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Features
Advantages
Applications
F.Fonseca is the representative of SICK in Portugal.
- 3D LiDAR sensor with PL b (ISO13849), performance class C (IEC/TS 62998);
- Safety-related measurement data, 3D protective fields;
- Large field of view: 16 scan layers, aperture angle: 360° × 42°;
- Scanning range: 62 m, safety-related scanning range: up to 20 m;
- IP69K enclosure rating, safe multi-echo technology, intelligent filter algorithms.
Advantages
- Precise 3D environmental perception for the safe automation of mobile machines such as agricultural robots;
- Safe measurement data allows use in a wide range of custom outdoor applications;
- 3D protective field evaluation enables easy integration into safety controllers via digital outputs;
- Detection of large areas and precise fine positioning thanks to high measurement accuracy;
- More flexibility in the mounting position thanks to three-dimensional environmental perception;
- Rugged hardware and measurement technology for high availability in harsh outdoor environments.
Applications
- Assistance systems;
- Autonomous and semi-autonomous systems;
- Collision avoidance;
- Mobile machines, e.g. agricultural robots;
- Safe localization and mapping for obstacle detection, cliff detection on uneven floors, and general automation tasks.
F.Fonseca is the representative of SICK in Portugal.
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