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. The present invention also discloses an optical navigation device with a first optical sensor and a second optical sensor.

Abstract: An optical sensing system, comprising: a first light source for emitting first light to a first part of an object; a second light source for emitting second light to a second part of the object, wherein the first part is above the second part, wherein the first light is not emitted to the second part and the second light is not emitted to the first part; a uniform light source, for emitting uniform light to the object, wherein the first light source is below the uniform light source and the second light source is above the uniform light source; and an optical sensor, wherein a detecting region of the optical sensor comprises an adjustable upper half region and a lower half region. Such optical sensing system can reduce the effect that the arm causes for hand location calculating.

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: 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: 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 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 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 optical detection device includes a first linear light source, a second linear light source, an optical sensor array and a processor. The first linear light source is adapted to project a first long strip illumination beam onto the target container. The second linear light source is adapted to project a second long strip illumination beam onto the target container, and the second long strip illumination beam is crossed with the first long strip illumination beam. The optical sensor array is adapted to receive a first long strip detection beam and a second 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 first long strip detection beam and the second long strip detection beam to acquire a relative distance between the optical sensor array and the target container.

Abstract: An optical sensing system and a method for eliminating misjudgment of a reflective light are 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 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: An image recognition system, a sensor module and a method for image recognition are provided. The system includes a processing module, a sensor module, and a database. The sensor module includes first sensors and second sensors, the first sensors are image sensors for object recognition and the second sensors are thermal sensors for human detection. When the image sensors and the thermal sensors are arranged in columns, each column of the image sensors is adjacent to at least one column of the thermal sensors, or when the image sensors and the thermal sensors are arranged in rows, each row of the image sensors is adjacent to at least one row of the thermal sensors, or when the image sensors and the thermal sensors are arranged in a checkerboard manner in the matrix, each of the image sensors is adjacent to the thermal sensors.

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 device including a light source module, an image sensor and a processor. The light source module projects a first pattern and a second pattern toward a moving direction. The image sensor captures an image of the first pattern and an image of the second pattern. The processor calculates one-dimensional depth information according to the image of the first pattern and calculates two-dimensional depth information according to the image of the second pattern.

Abstract: A method for eliminating misjudgment of a reflective light is provided. A light source emits a transverse linear light toward a direction of a floor 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, centers of gravity of the reflective light signals are analyzed, and the centers of gravity of the reflective light signals can be corrected based on a line of gravity or a center of gravity of previous reflective light signals stored in a memory of the autonomous robot in order to exclude a center of gravity generated by the reflective light signal from a wall. A distance of the object can be confirmed based on the corrected centers of gravity of reflective light signals.

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: 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.