TOFCAM-635

General description 

The TOFcam-635 is a miniaturized and cost-optimized 3D TOF camera. It is based on the ESPROS proprietary time-of-flight (TOF) technology using the epc635 TOF chip. The camera controls the illumination and the imager chip to obtain distance and grayscale images. The cameras are calibrated to provide accurate 3D depth images. By using the ROS driver from ESPROS, 3D point clouds in a world cartesian coordinate system are available. The depth images are compensated against DRNU errors, modulation errors, ambient-light, temperature and reflectivity of the scene. Thanks to the high performance of the imager chip with the unique ambient-light suppression, the camera can be used in many cases under full sunlight conditions. The output of the TOFcam-635 is depth and grayscale images – allowing a variety of new applications, e.g. for mobile robotics. This module brings you right in front with the latest technology of 3D depth

 sensing. All the complex engineering and time consuming design tasks regarding optics, illumination and signal processing are already solved

Features 

■160 x 60 pixels (9600 pixels) 

■ Field of view (FOV) of 50° x 19° (h x v) 

■ Distance measurement ranges on white target: Wide FOV: 0.1 ... 7.5 m, center beam (NFOV): 1.0 ... 15 m 

■ Measurement rate up to 50 TOF measurements per second 

■ Sun- and ambient-light tolerant up to 100 kLux 

■ Calibrated and compensated 

■ Temperature compensated 

■ Easy to use 

■ High speed serial interface UART 10 Mbit/s 

■ Low power consumption 

■ GUI for Windows and Mac 

■ ROS application for Linux

■ Python library for Windows 

■ Software source code on request 

■ Customized versions possible

Applications 

■ Distance measurement from centimeters to a few meters 

■ Mobile robots, automatic vehicle guidance, collision avoidance 

■ Scanner for SLAM data acquisition in mobile robots 

■ People and object counting, in-cabin monitoring 

■ Door opening, machine controlling and safeguarding, IoT 

■ Gesture control (man-machine-interface) 

■ Object classification