Abstract: An optical distance measurement method includes: acquiring a plurality of sensed values based on detecting light; performing a filtering operation 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: There is provided a mobile robot that performs the de-flickering and different auto exposures in a pixel array in the range estimation to be adaptable to different operating scenarios, and constructs a three-dimensional depth map to lower the cost.

Abstract: An image recognition method and system based on deep learning are provided. The image recognition system includes a first recognizing engine, at least one second recognizing engine and a processing circuit. The second recognizing engine is activated to recognize an image when the first recognizing engine is recognizing the image. The processing circuit determines whether to interrupt the first recognizing engine recognizing the image according to a result outputted by the second recognizing engine after the second recognizing engine completes recognition of 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 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: A non-solid material detection device, comprising: a processing circuit; an image sensor; a first light source, configured to emit first light following a first direction; a second light source, configured to emit second light following a second direction. If the non-solid material detection device is located on the surface, the first direction is toward a surface and the second direction is leaving or parallel with the surface. The processing circuit determines an obstacle based on a second sensing image generated according to the second light and determines non-solid material based on a first sensing image generated according to the first light. The present invention also discloses a distance computing device. Via the present invention, the non-solid material detection and the distance computing can be more accurate.

Abstract: A liquid providing system of detecting a target container includes a main body, a holder, an optical sensor and an operational processor. The main body has a supporting platform. The holder is disposed on the supporting platform, and the holder is made by low reflectivity material and adapted to hold the target container. The optical sensor is disposed above the supporting platform and adapted to output a detection image containing the target container and the holder. The operational processor is electrically connected to the optical sensor, and adapted to analyze the detection image and then acquire an effective feature inside the detection image for distinguishing the target container from the holder.

Abstract: A robot cleaner comprises a first light source, an optical sensor, a processing circuit and a second light source. The first light source emits first light. The optical sensor senses first optical data generated according to the first light. The processing circuit computes a height or an overhang height of an obstacle based on the first optical data. The second light source emits second light. The optical sensor senses second optical data generated according to the second light. The processing circuit determines whether the obstacle exists in the predetermined region or not based on the second optical data.

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 image sensing system, comprising: a distance determining device, configured to determine whether a distance between an object and an electronic device comprising the image sensing system is larger than a distance threshold or not; and an image sensor, comprising at least one image sensing unit, wherein the image sensor senses images with a first frame rate when the distance is smaller than the distance threshold and senses the images with a second frame rate when the distance is larger than the distance threshold, wherein the first frame rate is different from the second frame rate.

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: A portable electronic device is provided. The portable electronic device includes a body, an image sensor and a main system. The image sensor continually captures a first image outside the body, detects at least one motion of a user according to the first image, and generates a control signal related to the motion. The main system receives the control signal from the image sensor and executes a function or a service corresponding to the motion according to the control signal.

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: There is provided an electronic device capable of improving the difficulty of breaking a digital electronic lock and the accuracy of gesture control. The electronic device is unlocked according to gestures of a single hand or two hands, an operation hand, a gesture position, a staying time of gesture and a gesture variation of a user. The electronic device further improves the accuracy of gesture control in conjunction with an accessory pattern, temperature sensing and space information of a wearable device. The present disclosure further provides an electronic device that identifies legitimacy of moving the electronic device according to a variation sequence of 3-axis accelerations of an accelerometer.

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: An image recognition method and system based on deep learning are provided. The image recognition system includes a first recognizing engine, at least one second recognizing engine and a processing circuit. The second recognizing engine is activated to recognize a testing image when the first recognizing engine is recognizing the testing image. The processing circuit determines whether to interrupt the first recognizing engine recognizing the testing image according to a result outputted by the second recognizing engine after the second recognizing engine completes recognition of the testing image.

Abstract: There is provided a moving robot including a first light source module and a second light source module respectively project a first light section and a second light section, which are vertical light sections, in front of a moving direction, wherein the first light section and the second light section cross with each other at a predetermined distance in front of the moving robot so as to eliminate a detection dead zone between the first light source module and the second light source module in front of the moving robot to avoid collision with an object during operation.

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: An image noise compensating system, comprising: a distance determining device, configured to determine whether a distance is larger than a distance threshold or not; an image sensor, comprising at least one image sensing unit, wherein the image sensor forms a combined image sensing unit when the distance is smaller than the distance threshold and senses images without forming the combined image sensing unit when the distance is larger than the distance threshold, wherein a width of an area that the combined image sensing unit can sense is larger than a width of an area that the image sensing unit can sense; a noise compensating circuit, configured to compensate image noises; and a control circuit, configured to calculate a location of the image noise compensating system.

Abstract: A detecting device for detecting liquid or colloid, comprising: a light emitting device, configured to emit first light, wherein a first angle between a first emitting direction of the first light and a surface when the detecting device is located on the surface, wherein the first angle is larger than 0° and smaller than 90°; an optical sensor, configured to detect first optical data generated based on the first light; and a processing circuit, configured to determine if the liquid or the colloid exists in a predetermined range of the detecting device based on the first optical data. An automatic cleaner applying the detecting device is also disclosed.

Abstract: An object detecting system comprising: a first distance measuring device, configured to measure a first distance between a first part of an object and the first distance measuring device; a second distance measuring device, configured to measure a second distance between a second part of the object and the second distance measuring device; a uniform light source, configured to emit uniform light to the object; an optical sensor, configured to sense optical data of the object generated based on the uniform light; and a control circuit, configured to calculate a location of the object according to the first distance, the second distance and the optical data.