Expanding 3D vision
In many current applications, 3D vision enables intelligent actions that increase safety, productivity or enable new user-interactions.
The performance of these applications is however still severely limited
by the capabilities of the cameras (distance range, image resolution, accuracy, background noise, speed of acquisition). 3D cameras that provide only short range vision or deliver ambiguous distance measurement in difficult environmental
lighting conditions do not fulfil the requirements of industrial and automotive applications alike. Fastree3D image sensor kits integrated by OEMs in their 3D vision systems will enable 3D measurements of high quality and high speed with longer distance range.
Image © Daily mail
Fastree3D sensors enables a “virtual safety belt” around driver assisted cars and autonomous robots by offering 3D imaging technology complementing other sensors such as 2D cameras, radar, ultrasound sensor. This provides a strong performance impact on both independent and integrated (based on sensor fusion) safety systems.
Advanced Driver Assistance Systems (ADAS) provides advanced safety features and driving convenience that has the potential to decrease the number of on-road accidents. A key component of ADAS and driver monitoring systems is the sensor. Sensors like radar and vision sensors enable a vehicle to understand its surroundings and detect obstacles that include highly vulnerable pedestrians.
Applications also include robotic vision and autonomous vehicle guidance (AVG). These industrial systems are used
in manufacturing and logistics environments. They enable
obstacle detection and avoidance, precise robotic positioning for manufacturing or automated logistic applications.
Body movement detection
Image © Technology
3D vision also enables human and object movement detection in medical, security, user interaction and gaming applications. System development kits compatible with various sensor and illumination technologies can help evaluate the applicability of ToF cameras to new fields.