Timeofflighttekniker

Timeofflighttekniker is a professional role responsible for the deployment, maintenance, and optimization of Time-of-Flight depth-sensing systems. Time-of-Flight (ToF) technology measures distance by timing light pulses, producing 2D images with per-pixel depth information. The term combines Time-of-Flight with tekniker, a Scandinavian word for technician, and is used in engineering and manufacturing contexts to describe specialists who work with ToF sensors and related optics.

Core duties include configuring ToF cameras, calibrating depth measurements, and ensuring data quality. Tasks may cover optical alignment, sensor warm-up and environmental compensation, firmware and software updates, integration with host systems, and troubleshooting hardware or software issues. The role often involves documenting test procedures, performing bench and field tests, and collaborating with guidance systems, robotics engineers, and product teams.

Required skills include knowledge of optics and photonics, signal processing, and familiarity with time-of-flight principles such as modulation, phase shifts, and noise sources. Proficiency in programming (Python, C++, MATLAB) and experience with image processing tools (OpenCV) or robotics middleware (ROS) are common. Safety awareness, particularly around laser and IR light, is important.

Typical applications span consumer devices (smartphones and tablets with depth sensing), automotive driver monitoring and assisted parking, industrial automation and inspection, and augmented reality systems. Timeofflightteknikers may work in electronics labs, manufacturing lines, service centers, or on-site installations, often collaborating with optical engineers, software developers, and quality assurance teams.

Education and career development usually require a technical degree in electronics, physics, or optical engineering, with on-the-job training in ToF theory and calibration procedures. Some roles pursue certifications in safety, laser compliance, or quality management. The field is evolving with advances in higher-resolution ToF sensors and integrated depth sensing.