Abstract: An electronic system including a display device, an image sensor, a face detection engine, an eye detection engine and an eye protection engine is provided. The image sensor captures an image. The face detection engine recognizes a user face in the image. The eye detection engine recognizes user eyes in the image. The eye protection engine turns off the display device when the user eyes are recognized in the image but the user face is not recognized in the image.

Abstract: There is provided a smoke detector including a light source, a reflective surface, a light sensor and a processor. The light sensor receives reflected light when the light source emits light toward the reflective surface, and generates a reference detection signal when there is no smoke. The processor receives the detection signal from the light sensor, and automatically selects a set of predetermined condition thresholds according to a profile of the detection signal to be compared with the detection signal thereby determining whether to generate an alarm according to the comparison result.

Abstract: There is provided an image processing device including a light sensor and a processor. The light sensor is used to detect light and output an image frame. The processor identifies intensity of ambient light according to an image parameter associated with the image frame. When the ambient light is identified to be strong enough, the processor performs an object identification directly using the image frame. When the ambient light is identified to be not enough, the processor firstly converts the image frame to a converted image using a machine learning model, and then performs the object identification using the converted image.

Abstract: A dirtiness level determining method, applied to a robot cleaner comprising an image sensor, comprising: capturing an image of a reference surface as a reference image: capturing a current image; calculating a fixed pattern according to a difference between the reference image and the current image; calculating a dirtiness level of the image sensor according to the fixed pattern; and generating a notifying message if the dirtiness level is higher than a dirtiness threshold. The dirtiness level of the image sensor can be automatically determined by the robot cleaner, thus the user can be notified before the auto clean machine cannot normally operate.

Abstract: An object determining system, comprising: an optical sensor, comprising a kind determining region and an element analyzing region, wherein the optical sensor acquires first optical data via the kind determining region, and acquires second optical data via the element analyzing region, wherein the kind determining region and the element analyzing region are different regions of the optical sensor; a kind determining circuit, configured to determine an object kind of the object according to the first optical data; and an element analyzing circuit, configured to analyze element of the object according to the second optical data.

Abstract: An auto clean machine, comprising: a light source configured to emit light to illuminate at least one light region outside and in front of the auto clean machine; a first image sensing area, configured to sense a first brightness distribution of the light region; a second image sensing area below the first image sensing area, configured to sense a second brightness distribution of the light region; and a processor, configured to control movement of the auto clean machine according the first brightness distribution and the second brightness distribution. The processor generates a wall detection result based on the first brightness distribution of the light region, generates a cliff detection result based on the second brightness distribution of the light region, and controls the movement of the auto clean machine according to the wall detection result and the cliff detection result.

Abstract: There is provided a cleaning robot including a light source module, an image sensor and a processor. The light source module projects a line pattern and a speckle pattern toward a moving direction. The image sensor captures an image of the line pattern and an image of the speckle pattern. The processor calculates one-dimensional depth information according to the image of the line pattern and calculates two-dimensional depth information according to the image of the speckle pattern.

Abstract: There is provided an optical distance measurement device including a processor embedded with a first algorithm and a second algorithm. The first algorithm is used to calculate an object depth when an obstacle is distanced from the distance measurement device smaller than a predetermined distance. The second algorithm is used to calculate an object depth when the obstacle is distanced from the distance measurement device larger than the predetermined distance.

Abstract: A material determining device comprising a first image sensor, a second image sensor, and a light source is provided. The material determining method comprises: (a) sensing a first image by the first image sensor according to light from the light source; (b) sensing a second image by the second image sensor according to the light; and (c) determining whether material corresponding to material images in the first image and the second image is first type of material or second type of material, according to locations of the material images in the first image and the second image and according to shapes of the material images in the first image and the second image. By this way an electronic device using the material determining device can properly operate according to the type of material.

Abstract: An imaging system includes a light source, an image sensor and a processing unit. The image sensor alternatively captures a first bright image, a first dark image, a second bright image and a second dark image, wherein the first bright image is captured with a first exposure time corresponding to activation of the light source within a first time interval, the first dark image is captured with the first exposure time corresponding to deactivation of the light source within the first time interval, the second bright image is captured with a second exposure time corresponding to activation of the light source within a second time interval, and the second dark image is captured with the second exposure time corresponding to deactivation of the light source within the second time interval, wherein the second exposure time is longer than the first exposure time.

Abstract: A liquid level detection system of detecting a target container includes a main body, an optical sensor, a fan and an operational processor. The main body has a supporting platform whereon the target container is disposed. The optical sensor is disposed above the supporting platform and adapted to output a detection image containing the target container. The fan is disposed on the main body and faces the supporting platform. The operational processor is electrically connected to the optical sensor, and adapted to analyze the detection image generated within an operation period of the fan and further to acquire an effective feature of the target container inside the detection image.

Abstract: One object determining system comprising: an air ejection device, configured to eject air; a distance detecting circuit, configured to detect distances between an electronic device comprising the object determining system and at least one location of an object when the air ejection device ejects air to the object; and a determining circuit, configured to determine a type of the object according to variations of the distances.

Abstract: A dirtiness level determining method applied to an electronic device comprising an image sensor. The method comprises: (a) capturing a first image at a first time point according to first type of light; (b) capturing a second image at a second time point after the first time point according to the first type of light; (c) calculating a first fixed pattern according to a first difference between the first image and the second image; and (d) calculating a first dirtiness level of the image sensor according to the first fixed pattern; (e) generating a first notifying message if the first dirtiness level is higher than a dirtiness threshold.

Abstract: A tire surface managing method, comprising: emitting detecting light to a target object on a surface of a tire; receiving reflected detecting light from the target object and from the surface adjacent to the target object; determining whether the target object protrudes according to a distance calculated according to the reflected detecting light from the target object and a distance calculated according to the reflected detecting light from the surface; determining whether the target object forms a hole on the surface according to the distance calculated according to the reflected detecting light from the target object and the distance calculated according to the reflected detecting light from the surface; receiving the reflected detecting light from the surface to calculate a width of the hole on the tire; and activating a protection mechanism for a vehicle comprising the tire if the width is larger than a width threshold.

Abstract: An auto clean machine, comprising: an optical sensor; a light source, configured to generate a first light pattern; and a processing circuit, configured to determine which light pattern is the first light pattern if the optical sensor senses more than one light pattern.

Abstract: There is provided a cleaning robot including a light source module and an image sensor. The light source module projects a horizontal line pattern toward a moving direction. The image sensor captures, toward the moving direction, an image of the horizontal line pattern. The light source module is arranged below the image sensor so as to eliminate the interference from second reflection.

Abstract: A control apparatus for an auto clean machine comprising a light source configured to emit light to illuminate at least one light region outside and in front of the auto clean machine. The control apparatus comprises: a first image sensing area, configured to sense a first brightness distribution of the light region, wherein a resolution for a first direction of the first image sensing area is higher than a resolution for a second direction of the first image sensing area; and a processor, configured to control movement of the auto clean machine according the first brightness distribution.

Abstract: An optical navigation device comprising: a processing circuit; a first light source, configured to emit first light; a cover; at least one second light source, configured to emit second light toward the cover; and an first optical sensor, configured to sense first optical data generated according to the first light and to sense second optical data generated according to the second light on the cover. The processing circuit determines a dirtiness level of the cover based on the second optical data sensed by the first optical sensor. The optical navigation device can further comprise a second optical sensor. Also, an optical navigation device which can avoid the interference of another optical navigation device is also disclosed.

Abstract: An image capturing device comprising an image sensor. The image sensor comprises: a first sensing region, having a first sensing threshold; and a second sensing region, having a second sensing threshold lower than the first sensing threshold. At least one object image is determined to be invalid when the object image captured by the first sensing region has brightness formation lower the first sensing threshold. At least one the object image is determined to be invalid when the object image captured by the second sensing region has brightness formation lower the second sensing threshold. The present invention also discloses a distance measuring device using the image sensor.

Abstract: An image recognition system includes a processing module, a sensor module, and a database. The sensor module is electrically connected to the processing module. The database is electrically connected to the processing module. The sensor module configured for capturing at least one image. The at least one image is stored in the database. The processing captures a contour of an object from the at least one image and separates the contour of the object into a plurality of portions. A plurality of arrangements is defined between the portions of the contour of the object. The processing module determines a state of the contour of the object based on the arrangements.