Abstract: There is provided a mobile robot that performs the obstacle avoidance and visual simultaneous localization and mapping (VSLAM) according to image frames captured by the same optical sensor. The mobile robot includes a pixel array and a processor. An upper part of the pixel array is not coated with any filter and a lower part of the pixel array is coated with an IR filter. The processor performs range estimation using pixel data corresponding to the lower part of the pixel array, and perform the VSLAM using pixel data corresponding to the upper part of the pixel array.

Abstract: There is provided a fire alarm device including multiple light sources, a light sensor, a first processor and a second processor. In a standby mode, the first processor identifies whether to wake up the second processor according to a detection result of the light sensor obtained by detecting emission light of one of the multiple light sources. The second processor identifies whether to generate an alarm according to a detection result of the light sensor obtained by detecting emission light of the multiple light sources. The fire alarm device further includes a thermal sensor for providing detected temperature values to the first processor and/or the second processor to perform the identifying procedure.

Abstract: An image processing method includes: acquiring a plurality of sensed values based on detecting light; comparing sensed values of each row with a corresponding threshold value to select a plurality of selected sensed values from the plurality of sensed values; determining a location of a centroid according to the plurality of selected sensed values; and calculating a plurality of depth values with respect to a plurality of detecting points according to the location of the centroid and a plurality of depth information transformation functions respectively corresponding to the detecting points.

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 moving robot including a light projector, an image sensor and a processing unit. The light projector projects a vertical light segment and a horizontal light segment toward a moving direction. The image sensor captures, toward the moving direction, an image frame containing a first light segment image associated with the vertical light segment and a second light segment image associated with the horizontal light segment. The processing unit recognizes a plush carpet in the moving direction when a vibration intensity of the second light segment image is higher than a predetermined threshold, and an obstacle height calculated according to the first light segment image is larger than a height threshold.

Abstract: There is provided a moving robot including a light projector, an image sensor and a processing unit. The light projector projects a vertical light segment toward a moving direction. The image sensor captures, toward the moving direction, an image frame containing a light segment image associated with the vertical light segment. The processing unit calculates a step distance and a segment feature according to the image frame, outputs a flag signal according to the segment feature to indicate whether the calculated step distance is confident or not, and perform a pixel interpolation in calculating the step distance to improve the identification accuracy.

Abstract: Disclosed are a distance measuring method and a distance measuring apparatus. During the distance measuring, an image is obtained. If the location of a center of gravity of the image is within a first segment, the calculating unit calculates a distance between the object and the distance measuring apparatus corresponding to the projection point, according to a first mapping relationship and the location of a center of gravity of the image. If the location of a center of gravity of the image is within a second segment, the calculating unit calculates a distance between the object and the distance measuring apparatus corresponding to the projection point according to a second mapping relationship and the location of a center of gravity of the image.

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: 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.

Abstract: An optical detection device of detecting a target container includes a linear light source, an optical sensor array and a processor. The linear light source is adapted to project a long strip illumination beam onto the target container. The optical sensor array includes a plurality of sensing units arranged as a long strip adapted to receive a long strip detection beam reflected from the target container. The processor is electrically connected to the optical sensor array. The processor is adapted to analyze intensity distribution of the plurality of sensing units to acquire a relative distance between the optical sensor array and a rim of the target container.

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: An electronic apparatus, 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 component, configured to determine an object kind of the object according to the first optical data; and an element analyzing component, configured to analyze element of the object according to the second optical data.

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 method for eliminating misjudgment of a reflective light applied to an autonomous robot is provided. The autonomous robot includes a driving system and an optical sensing system that includes a light source and a light sensor. The light source emits a transverse linear light as detection light and the light sensor senses reflective light signals from an object that reflects the detection light. In the method, a frame image including the reflective light signals is captured by the light sensor, characteristics of the reflective light signals are analyzed, and the characteristics of the reflective light signals can be corrected based on the characteristics of previous reflective light signals stored in a memory of the autonomous robot in order to exclude abnormal information. The object can be confirmed based on the corrected characteristics of reflective light signals. The misjudgment caused by the abnormal information can therefore be eliminated.

Abstract: There is provided a mobile robot that performs the obstacle avoidance and visual simultaneous localization and mapping (VSLAM) according to image frames captured by the same optical sensor. The mobile robot includes a pixel array and a processor. An upper part of the pixel array is not coated with any filter and a lower part of the pixel array is coated with an IR filter. The processor performs range estimation using pixel data corresponding to the lower part of the pixel array, and perform the VSLAM using pixel data corresponding to the upper part of the pixel array.

Abstract: A portable electronic device and an operation method are provided. The portable electronic device includes a body, a screen, a camera, an image sensor and a main system. The image sensor continually captures a first image outside the body with a first resolution and a first power consumption. The camera is turned on in the first state of the portable electronic device by the main system to capture a second image outside the body with a second power consumption and a second resolution only when the face image information appeared for over two seconds on the screen is detected by the image sensor from the first image. The second resolution is higher than the first resolution, and the second power consumption is higher than the first power consumption.

Abstract: There is provided a mobile robot that controls an exposure time of an optical sensor during a time interval during which images of a gap between tiles are captured. At an end of the time interval that an image of a gap between tiles is captured, the exposure time of the optical sensor is adjust to the exposure time being used right before the time interval to avoid high brightness of the captured image while the image of a gap between tiles is suddenly disappeared from a field of view of the optical sensor.

Abstract: Disclosed are a distance measuring method and a distance measuring apparatus. During the distance measuring, an image is obtained. If the location of a center of gravity of the image is within a first segment, the calculating unit calculates a distance between the object and the distance measuring apparatus corresponding to the projection point, according to a first mapping relationship and the location of a center of gravity of the image. If the location of a center of gravity of the image is within a second segment, the calculating unit calculates a distance between the object and the distance measuring apparatus corresponding to the projection point according to a second mapping relationship and the location of a center of gravity of the image.

Abstract: A sensor device includes an image sensing array, a frame buffer, a first read line, a second read line and an energy accumulator. The image sensing array is configured to sense reflected light from a working surface and includes a plurality of sensing pixels and a plurality of self-powered pixels. The sensing pixels respectively output image data according to the sensed reflected light. The self-powered pixels respectively output photocurrent according to the sensed reflected light. The first read line is coupled between the sensing pixels and the frame buffer. The second read line is coupled between the self-powered pixels and the frame buffer. The energy accumulator stores electrical energy of the photocurrent via a charge path between the self-powered pixels and the energy accumulator.

Abstract: There is provided a moving robot including a light projector, an image sensor and a processing unit. The light projector projects a vertical light segment and a horizontal light segment toward a moving direction. The image sensor captures, toward the moving direction, an image frame containing a first light segment image associated with the vertical light segment and a second light segment image associated with the horizontal light segment. The processing unit recognizes a plush carpet in the moving direction when a vibration intensity of the second light segment image is higher than a predetermined threshold, and an obstacle height calculated according to the first light segment image is larger than a height threshold.