SICK Introduces 3D ToF Camera With Level c Safety Sensor

SICK has announced the first 3D time-of-flight (ToF) camera that includes Performance Level c (PL c) functionality – the safeVisionary2. The system aims to support customers to become fully autonomous in addition to providing 3D localization and object recognition.
The company said the system is also effective for autonomous mobile robots, as it provides precise 3D measurement data that allows for autonomous and intelligent navigation. The safeVisionary2 is the first product in SICK’s safety portfolio.
SICK said the 3D environment detection enables seamless production of numerous applications requiring PL c. With a 2-meter safety range and up to four field switching cases, the device is based on the same ToF platform used by SICK’s Visionary-T Mini. Additional applications include industrial mobile robots, cobots and mobile service robots.
With safeVisionary2, obstacles above the scanning field level of a safety laser scanner are also reliably detected in the direction of travel, allowing for the avoidance of collisions. In contrast to 2D anti-collision solutions, SICK said safeVisionary2 can automatically restart in many cases. Side protection safety is also increased during turning and pivoting maneuvers of the vehicle after loading and unloading processes. In addition, 3D environmental information can be used in mobile applications for precise localization and navigation of vehicles, available via Gigabit Ethernet.
For robots that are designed for unstructured environments, such as a shopping mall, obstacles such as stairs or ramps can pose potential crash risks for the robot. In addition to evaluating protection and warning fields for track protection, safeVisionary2 also enables cliff detection, which adds value for contour-based navigation and other automation tasks.
SICK said the device can be configured easily and cost-effectively through the SICK Safety Designer, which also includes diagnostic functions.
For more details and information, visit the SICK website here.