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: There is provided an optical distance measurement system including an image sensor and a processing unit. The processing unit is configured to generate an image to be calculated according to at least one image captured by the image sensor, wherein different image regions of the image to be calculated correspond to different exposure times thereby improving the accuracy of the distance calculation.

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 optical sensing system and an optical sensing method are provided. The system includes a bright-field light source, a dark-field light source, an optical detecting circuit, and a processing circuit.

Abstract: An electronic system including 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 a 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 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: 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 device, comprising: a first light source, configured to emit first light; a second light source, configured to emit second light; a first optical sensor, configured to sense first optical data generated based on reflected light of the first light; a light guiding device, configured to receive the second light; and a second optical sensor, configured to sense second optical data generated based on the second light emitted by the light guiding device. The first optical sensor and the second optical sensor can be integrated to a single optical sensor.

Abstract: 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 whether the object is a rigidity type object or a soft type object according to the variations.

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: 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: An electronic system including 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 a display device when the user eyes are recognized in the image but the user face is not recognized in the image.

Abstract: A smoke detector comprises a light source, an optical sensor, a first, and a second processing circuit. The optical sensor senses optical data and comprises; a first oscillator, generating a first oscillating signal; and a second oscillator, generating a second oscillating signal. The first processing circuit generates a first command to instruct the first oscillator to oscillate for a first expected oscillating time, and acquires a first real oscillating time, wherein the first processing circuit further computes a time relation between the first expected oscillating time and the first real oscillating time. The first processing circuit generates a second command to instruct the second oscillator to oscillate for a second expected oscillating time according to the time relation. The second processing circuit controls the smoke detector to generate a first alarm according to the time relation. The optical sensor can also be applied to other electronic devices.

Abstract: An optical sensing system, comprising: a first light source, configured to emit first light to a first position; a second light source, configured to emit second light to a second position, wherein the first position is above the second position, wherein the first light is not emitted to the second position and the second light is not emitted to the first position; and an optical sensor, configured to sense optical data generated based on at least one of the first light source and the second light source; wherein a detecting region of the optical sensor comprises an upper half region and a lower half region, wherein a size of the upper half region is adjustable.

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.

Abstract: An object determining system, comprising: a processing circuit; a first stage object sensor, for generating a first stage object sensing result of an object; and a second stage object sensor, for generating a second stage object sensing result of the object if the processing circuit determines the object exists in a predetermined range based on the first stage object sensing result, wherein the processing circuit further determines an object kind of the object based on the second stage object sensing result; a line light source; and an area light source. The first stage object sensor generates the first stage object sensing result based on the line light. The second stage object sensor generates the second object detecting result based on the plane light. The first stage object sensor is a depth sensor or a thermal sensor. The second stage object sensor is an image sensor or a thermal sensor.

Abstract: There is provided an electronic product that performs the obstacle avoidance, positioning and object recognition according to image frames captured by the same optical sensor. The electronic product includes an optical sensor, a light emitting diode, a laser diode and a processor. The processor identifies an obstacle and a distance thereof according to image frames captured by the optical sensor when the laser diode is emitting light. The processor further performs the positioning and object recognition according to image frames captured by the optical sensor when the light emitting diode is emitting light.

Abstract: An optical sensing system is provided. The optical sensing system includes a first light source, a second light source, a light sensor, and a processor. The processor is configured to: control the first light source to scan a horizontal detection area; control the light sensor to capture a first frame by receiving first reflective lights from the horizontal detection area; obtain a first reflection pattern, and analyze the first reflection pattern to determine whether an object is within the first portion; if so, control the second light source to scan a first vertical detection area; control the light sensor to capture a second frame from the first vertical detection area; process the second frame to obtain a second reflection pattern, and analyze the second reflection pattern to determine whether the object is detected by a misjudgment.

Abstract: There is provided a smoke detector including a first light source, a second light source surface, a light sensor and a processor. The light sensor receives reflected light when the first light source and the second light source emit light, and generates a first detection signal corresponding to light emission of the first light source and a second detection signal corresponding to light emission of the second light source. The processor distinguishes smoke and floating particles according to a similarity between the first detection signal and the second detection signal.

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.