An input device (Ip) includes a position detector (43) that determine a first position based on a fact that a distance between a pointer (Fg) and a position detection plane (Iv) has become a predetermined length or smaller and to detect a position based on a fact that a movement speed of the pointer (Fg) has become a predetermined value or lower, and a position corrector (44) that determine a first position in the position detection plane (Iv) based on the position and the second position.

A projector includes a laser beam scanning portion, a light detecting portion, and a control portion performing control of predicting a prediction region where a detection object exists on the basis of detection of the detection object, changing a modulation pattern of a laser beam when the laser beam is scanned on the prediction region, acquiring the position of the detection object on the basis of reflected light of the laser beam emitted in a detection object detection pattern, and setting the position of the detection object to an indication position.

A detector for determining a position of at least one object, where the detector includes: at least one optical sensor, where the optical sensor has at least one sensor region, where the optical sensor is designed to generate at least one sensor signal in a manner dependent on an illumination of the sensor region by illumination light traveling from the object to the detector; at least one beam-splitting device, where the beam-splitting device is adapted to split the illumination light in at least two separate light beams, where each light beam travels on a light path to the optical sensor; at least one modulation device for modulating the illumination light, where the at least one modulation device is arranged on one of the at least two light paths; and at least one evaluation device, where the evaluation device is designed to generate at least one item of information from the at least one sensor signal.

A device with a touchscreen includes a transparent virtual touch overlay used to modify content on a secondary display. The device may send display content to the secondary display either wired or wirelessly. The secondary display may be separate from the device or integrated in the device. The secondary display may use any display technology including a fixed installation monitor or a projector.

A scanning display system includes hybrid data acquisition. Data can be acquired in a time-of-flight mode, or in a non-time-of-flight mode. Infrared light pulses may be used in both modes. The infrared light pulses may have different characteristics. Time-of-flight data acquisition and non-time-of-flight data acquisition may be used sequentially or simultaneously.

A method is provided for non-contact interaction with a module, the module including a first submodule and a second submodule, a primary beam being generated by the first submodule in a first method step, the primary beam being deflected by the second submodule in a second method step in such a way that a piece of image information is projected onto a projection area, the primary beam being deflected by the second submodule in a third method step in such a way that a piece of operating information is projected onto an operating area, a control signal being generated by the module in a fourth method step if a control command is detected in a locating zone associated with the primary beam, the operating area being projected onto an operating object in the third method step if the operating object is positioned in the locating zone.

A detection device that detects an operation by a user on a display in midair, includes: a control unit that changes a positional relationship between a detection reference detecting the operation and the display, wherein: the control unit is capable of changing the positional relationship by user.

A gesture-based control system utilizes real-time camera input and artificial intelligence to interpret user hand gestures for controlling a digital interface. The system includes a camera and processor configured to analyze image data using machine learning models trained on a diverse set of stored hand gesture representations. Gestures are recognized based on positional attributes, handedness, and motion vectors, and are mapped to input commands such as swipe left, right, up, or down. The system is designed for simplicity, using natural, intuitive gestures, such as swiping, thumbs up, thumbs down, and the OK sign, requiring no memorization or complex training. These familiar motions enable touch-free navigation and interaction with digital content, including support for hierarchical menu structures. The system can operate with or without visual gesture feedback. Methods and non-transitory computer-readable media are also disclosed for performing gesture detection and command execution.