Systems, cameras, and software for performing optical gas imaging using thermal imaging. Processors are programmed with instructions for a method of detecting gas that includes creating a filtered background image, a filtered foreground image, and optical gas image data, and generating a display image. The filtered background image and filtered foreground images may be created by combining infrared image data from a plurality of images captured by an infrared camera module using filtering processes. The optical gas image data may be created by comparing the filtered background image and the filtered foreground image. An image may be generated that includes the optical gas image data for presentation on a display.

A label-free optical device for near real time quantification of the multifractal micro-optical properties of a sample includes a source of broadband light; a tunable filter that receives at least a portion of the broadband light and then transmits narrowband light, whereby a specific band of light is selected to avoid unwanted absorption of light by the sample; where the narrowband light is configured to illuminate a selected area of the sample, and in response elastically-scattered light is dispersed from the sample; a light collection device configured to collect at least some of the elastically-scattered light; where at least some of the collected elastically-scattered light is configured to be transmitted to a detector by the light collection device, and the detector is configured to record a light scattering signal; and where the detector is configured to perform light scattering signal measurements at multiple angles or wavelengths to determine a refractive index multifractality of the sample.

A portable imaging device including a housing comprising a containment portion connected to a gripping portion, a display screen arranged on a proximal end of the containment portion and an image collection port arranged on a distal end of the gripping portion, an input device arranged on or adjacent to the gripping portion, a digital camera arranged in the housing and configured to capture an image of a surface through the image collection port in response to actuation of the input device, and a computing device arranged in the housing and in communication with the digital camera. The computing device is programmed or configured to determine a diameter of an indentation in a surface based on analyzing the image and determine a hardness value based on the diameter. Also, a method of using the portable image device to determine the hardness of a material.

A leather inspection apparatus is provided for detecting inconsistencies on both upper and lower surfaces of a hide. It includes a first camera assembly movably coupled to a support frame and capable of movement along the upper surface of the hide and a second camera assembly movably coupled to the support frame and capable of movement along the lower surface of the hide. A computing device is coupled to the first camera assembly and the second camera assembly, such that the first camera assembly detects the locations of inconsistencies in the upper surface of the hide and the second camera assembly detects the locations of inconsistencies in the lower surface of the hide. The computing device digitally stores the locations of the inconsistencies of the upper surface of the hide and the locations of the inconsistencies of the lower surface of the hide.

Embodiments include a device for testing biological specimen. The device can include a receiving mechanism to receive a carrier. The carrier may include a holding area. The device may include a camera arranged to capture a plurality of images, including a first image and a second image, of the holding area. The device may include a positioning mechanism operable to adjust a relative location of the carrier to the camera. A processor in the device may utilize the camera module to: identify an edge of the first image; cause the positioning mechanism to adjust the relative location of the carrier to the camera in a manner such that, when the camera takes the second image, an edge of the second image aligns with the identified edge of the first image; and perform a set of analytic processes on a combined image from the first and second images.

A leather inspection apparatus is provided for detecting inconsistencies on both upper and lower surfaces of a hide. It includes a first camera assembly movably coupled to a support frame and capable of movement along the upper surface of the hide and a second camera assembly movably coupled to the support frame and capable of movement along the lower surface of the hide. A computing device is coupled to the first camera assembly and the second camera assembly, such that the first camera assembly detects the locations of inconsistencies in the upper surface of the hide and the second camera assembly detects the locations of inconsistencies in the lower surface of the hide. The computing device digitally stores the locations of the inconsistencies of the upper surface of the hide and the locations of the inconsistencies of the lower surface of the hide.

Various embodiments are disclosed for a machine learning system for automatic genotype selection and performance evaluation using multi-source and spatiotemporal remote sensing data collected from an unmanned aerial system (UAS). A computing device may be configured to access images of a field having a first genotype and a second genotype of at least one crop or plant planted therein. The computing device may apply an image processing routine to the images to analyze the images of the field and determine characteristics of the first genotype and the second genotype of the at least one crop or plant planted in the field. The computing device may then apply a machine learning routine to forecast a first estimated yield of the first genotype and a second estimated yield of the second genotype using the identified characteristics of the first genotype and the second genotype.

Embodiments include a device for testing biological specimen. The device can include a receiving mechanism to receive a carrier. The carrier may include a holding area. The device may include a camera arranged to capture a plurality of images, including a first image and a second image, of the holding area. The device may include a positioning mechanism operable to adjust a relative location of the carrier to the camera. A processor in the device may utilize the camera module to: identify an edge of the first image; cause the positioning mechanism to adjust the relative location of the carrier to the camera in a manner such that, when the camera takes the second image, an edge of the second image aligns with the identified edge of the first image; and perform a set of analytic processes on a combined image from the first and second images.

Embodiments include a device for testing biological specimen. The device can include a receiving mechanism to receive a carrier. The carrier may include a holding area. The device includes a camera to capture a plurality of images of the holding area. A processor in the device may utilize the camera module to: adaptively select, based on the plurality of images of the holding area, an analytical algorithm suitable for a motion property that is characteristic of the biological specimen being tested; and perform a set of analytic processes that corresponds to the selected analytic algorithm on the captured imagery to generate an analytic result associated with the biological specimen.

A system is described that can detect, track and analyze a bubble of a secondary substance contained within a primary substance along a part of a fluid line. For example, the system can detect the presence of the bubble within the primary substance along the part of the fluid line, which can include assigning a digital signature to the bubble. In addition, the system can track the movement of the bubble in order to ensure that the bubble is accounted for only once as it passes through the part of the fluid line. Furthermore, the system can analyze the bubble, such as determine its direction of travel, speed of travel, volume and size.