Optical multi-channel measurement unit for a process measurement includes first ends for receiving optical radiation from the optical radiation source, and second ends for outputting the optical radiation for illuminating the at least one object. Optical detectors receive optical radiation from at least one measurement channel via at least one optical filter and convert an intensity of the optical radiation to an electrical signal. A movement mechanism causes, for filtering the wavelengths of the optical radiation propagating between detectors and the optical measurement channels through the optical filters, at least one of the following: movement inside at least one optical filter and movement between the filters and the detectors.

A method for detection of distinctive features in a web being transported in a moving direction during a web manufacturing process including the steps of: a) acquiring an image of the web, including a plurality of pixels P i with i{1; . . . ; p}, b) identifying a plurality of regions of interest each corresponding to a distinctive feature by processing the plurality of pixels P i by: c) selecting a local pixel unit including a subset P j with jS{1; . . . ; p} of the plurality of pixels, the subset i) being representative of a subregion of the digital image, and ii) different from previously selected local pixel units, d) deciding whether the local pixel unit is of interest or not, i) if the local pixel unit is of interest, 1) identifying whether the local pixel unit is located within an impact area A k of a previously identified region of interest R k with kA.Math.{1; . . . ; n}, 2) if the local pixel unit is not located within any impact area A k of any previously identified region of interest R k with kA.Math.{1; . . . ; n}, or no regions of interest have previously been identified, (a) identifying the local pixel unit as a new region R n+1 of interest; (b) initializing an impact area A n+1 for the new region R n+1 of interest; (c) incrementing a counter n representative of the number of previously identified regions of interest; if the local pixel unit is located within an impact area A k 0 of a previously identified region of interest R k 0, (a) merging, depending on a merging condition, the local pixel unit with the previously identified region of interest R k 0, (b) if the merging condition is fulfilled, updating the impact area A k 0 of the region of interest R k 0; ii) preferably, if the local pixel unit is not of interest, identifying whether the local pixel unit is located within an impact area A k of a previously identified region of interest R k with k{1; . . . ; n},if the local pixel unit is located within an impact area A k 0 of a previously identified region of interest R k 0, updating the impact area A k 0; e) repeating steps b) through d) until at least essentially all pixels of the image have been processed.

Systems and methods for thermal radiation detection utilizing a thermal radiation detection system are provided. The thermal radiation detection system includes one or more mercury-cadmium-telluride (HgCdTe)-based photodiode infrared detectors or Indium Arsenide (InAs)-based photodiode infrared detectors and a temperature sensing circuit. The temperature sensing circuit is configured to generate signals correlated to the temperatures of one or more of the plurality of infrared sensor elements. The thermal radiation detection system also includes a signal processing circuit.

A process for measuring a size distribution of a plurality of nucleic acid molecules, the process comprising: labeling the nucleic acid molecules with a fluorescent dye comprising a plurality of fluorescent dye molecules to form labeled nucleic acid molecules, such that a number of fluorescent dyes molecules attached to each nucleic acid molecule is reliably proportional to the number of base pairs in the nucleic acid molecule, the fluorescent dye molecules having a first florescence spectrum; producing, by the labeled nucleic acid molecules, the first florescence spectrum in response to irradiating the labeled nucleic acid molecules at the first wavelength; and detecting the first florescence spectrum to measure the size distribution of the plurality of nucleic acid molecules.

An inspection apparatus for inspecting electronic components of circuit board on assembly line, and a method thereof are disclosed. The inspection apparatus is provided for an assembly line and includes three image capture devices to capture inspection images of parts of a to-be-inspected circuit board respectively, so as to inspect the electronic components of the to-be-inspected circuit board according to the inspection images. As result, the technical effect of inspecting the electronic components of the circuit board on the assembly line can be achieved.

An optical inspection system includes at least one lighting module, a plurality of image-sensing units, and an editing and computing unit. Each lighting module is configured to generate a light beam for illuminating an object; each image-sensing unit is configured to capture an inspecting image of the object, wherein two adjacent inspecting images of the object has a repeated image; the editing and computing unit receiving the inspecting images captured by the image-sensing unit is configured to position the inspecting images in accordance with the repeated images and then recombinant the inspecting images for creating a full inspecting image.

A method for detection of distinctive features in a web being transported in a moving direction during a web manufacturing process including the steps of: a) acquiring an image of the web, including a plurality of pixels P i with i{1; . . . ; p}, b) identifying a plurality of regions of interest each corresponding to a distinctive feature by processing the plurality of pixels P i by: c) selecting a local pixel unit including a subset P j with jS{1; . . . ; p} of the plurality of pixels, the subset i) being representative of a subregion of the digital image, and ii) different from previously selected local pixel units, d) deciding whether the local pixel unit is of interest or not, i) if the local pixel unit is of interest, 1) identifying whether the local pixel unit is located within an impact area A k of a previously identified region of interest R k with kA.Math.{1; . . . ; n}, 2) if the local pixel unit is not located within any impact area A k of any previously identified region of interest R k with kA.Math.{1; . . . ; n), or no regions of interest have previously been identified, (a) identifying the local pixel unit as a new region R n+1 of interest; (b) initializing an impact area A n+1 for the new region R n+1 of interest; (c) incrementing a counter n representative of the number of previously identified regions of interest; if the local pixel unit is located within an impact area A k 0 of a previously identified region of interest R k 0, (a) merging, depending on a merging condition, the local pixel unit with the previously identified region of interest R k 0, (b) if the merging condition is fulfilled, updating the impact area A k 0 of the region of interest R k 0; ii) preferably, if the local pixel unit is not of interest, identifying whether the local pixel unit is located within an impact area A k of a previously identified region of interest R k with k{1; . . . ; n}, if the local pixel unit is located within an impact area A k 0 of a previously identified region of interest R k 0, updating the impact area A k 0; e) repeating steps b) through d) until at least essentially all pixels of the image have been processed.

The invention relates to a method, a computer program product and a machine vision system (30), comprising at least one lighting device (34), at least one image sensor (31 a-c) and a data processing device (32), the system in a first mode illuminating a first object (35) using a first type of illumination and capturing images of the first object at a first image capturing frequency, when the first object (35) is on a second object (33), transmitting the captured image data to the data processing device for analysis, and changing the system for monitoring the second object in a second mode, if absence of the first object on the second object is detected from the image data, wherein said at least one image sensor (31 a-c) is reconfigured to capture images at a second image capturing frequency from the second object.

An anisotropic conductive film includes an electrically conductive particle dispersion layer, which includes electrically conductive particles dispersed, in a predetermined dispersion state, in an electrically insulating adhesive. The anisotropic conductive film includes a defective portion indication means configured to provide information about a location of a defective portion regarding the dispersion state of the electrically conductive particles. A bonding method for bonding the anisotropic conductive film to an electronic component is performed such that, in accordance with the information about the location of the defective portion, obtained from the defective portion indication means, a defect-free portion of the anisotropic conductive film is bonded to a region where terminals or terminal arrays are present in the electronic component to be anisotropically conductively connected.

An optical detection device and a detection method thereof are provided. A linear light source provides a light curtain formed by multiple light beams, the light curtain is located on a transportation path of transporting an object to be detected. A sensor set senses the part of light beams not interrupted by the object to be detected, so as to generate a sensing signal with various strengths. A control circuit determines a physical characteristic, moving speed and position of the object to be detected according to the strength of the sensing signal.