An active laser vision robust weld tracking system, a weld position detection method, and a robust weld tracking algorithm are disclosed in the present invention. The active laser vision robust weld tracking system comprises a laser source, a laser vision sensor, an image processing system, an industrial robot, and an electrical control system. A laser stripe associated with weld profile information is recognized by the laser vision sensor through projecting structured light onto the surface of a weld, the weld feature information is extracted using an image processing method, the position of the weld is detected from the central line of the laser stripe, and then the intelligent tracking of the weld is achieved with a variety of control methods.

The present invention provides a smoke detection method with visual depth, which uses an image camera and a depth camera to extract surrounding images and surrounding depth information. A vehicle is used to patrol an area, such as the area of a processing factory, for receiving the surrounding environment information and detecting existence of burning objects or smoke. Then a processor adopting the clustering algorithm is used to estimate the smoke distribution or the location of fire source of burning objects, and uses an alarm to provide alarm information. Thereby, the rescue crew can prepare in advance and respond immediately. By providing the correct information to the firemen in the fire scenes, the time to control the fire can be shortened and the time for evacuation can be increased.

A light emitter includes: a substrate; a driving section provided on the substrate; a light source that is provided on the substrate and is driven by the driving section; a cover section through which light emitted from the light source is transmitted and that is disposed in an optical axial direction of the light source; and a support section that is provided on a part of the substrate excluding a part between the driving section and the light source and supports the cover section.

An object detection apparatus includes a first camera unit, a second camera unit, and a control unit. The first camera unit includes one or more cameras, and is configured to capture an image around a vehicle. The second camera unit includes one or more cameras, and is configured to capture an image of an area ahead of the vehicle. The control unit is configured to: determine a displacement of a feature point positioned in a common area from the image acquired via the first camera unit; determine a pixel displacement of the feature point in the image acquired via the second camera unit; and determine distance information to an object recognized in the image captured via the second camera unit based on the displacement of the feature point and the pixel displacement of the feature point.

A projector system includes a projector main body that obliquely projects image light and an imager that operates based on a stereographic projection scheme and captures an image of a stereographic region containing a projection region where the image light from the projector main body is projected to detect a pointing element present in the stereographic region.

A first light projector projects first slit light that spreads in the width direction of a vehicle in a direction other than a direction parallel to a contact ground surface. A second light projector projects second slit light that spreads in the width direction of the vehicle in a direction parallel to the contact ground surface. An obstacle detection unit detects an obstacle using a captured image of an area surrounding the vehicle where the first slit light and the second slit light are projected.

In an image projection system, a computing device generates conversion information for converting camera coordinates used by an imaging device and projector coordinates used by an image projection device based on a positional relationship between a projection pattern image and an imaging pattern image, the imaging device images a subject including a person, the computing device detects a first position indicating a position related to the camera coordinates in a specific region in the person, the computing device converts information on the first position into information on a second position indicating a position related to the projector coordinates in the specific region based on the conversion information, and the image projection device projects a warning image for overlapping with an entire region of the specific region based on the information on the second position.

A system includes an infrared light source, an infrared camera, and a controller. The controller includes processing circuitry configured to control a pulse illumination of the infrared light source, capture a sequence of images from the infrared camera including infrared noise combined with a captured reflection of the pulse illumination, filter the infrared noise from the sequence of images based on a comparison of the captured reflection of the pulse illumination to an expected result of the pulse illumination, and track a feature of interest in the sequence of images after filtering of the infrared noise.

Described examples include an optical device having a first light source configured to provide a first light having a first characteristic. The optical device also has a second light source configured to provide a second light having a second characteristic. The optical device also has a combiner configured to combine the first light and the second light to provide a combined light. The optical device also has a spatial light modulator configured to modulate the combined light to provide modulated combined light. The optical device also has a divider configured to receive the modulated combined light and to direct a first portion of the modulated combined light having the first characteristic to a first target and to direct a second portion of the modulated combined light having the second characteristic to a second target.

Provided are an optical device which is capable of optically implementing an activation function of an artificial neural network and an optical neural network apparatus which includes the optical device. The optical device may include: a beam splitter splitting incident light into first light and second light; an image sensor disposed to sense the first light; an optical shutter configured to transmit or block the second light; and a controller controlling operations of the optical shutter, based on an intensity of the first light measured by the image sensor.