A smoking detector having a body with a substrate which has a smoking particle capturing surface area positioned upon it. The particle capturing surface area is configured to attract and adhere to airborne smoking particles released in smoke emitted from burning tobacco or marijuana or a Vape device. Smoking particles captured within the particle capturing surface area will luminesce when exposed to UV light providing physical proof that smoking occurred in the room or vehicle where the detector was placed during a defined time period.

A system for detecting a contaminant, which includes a light source directed to heat a layer of a material positioned in a location. The system further includes an infrared camera positioned aligned with the location to receive electromagnetic thermal radiation energy from the layer of the material in the location.

An illuminator comprising more than one set of ultraviolet radiation sources. A first set of ultraviolet radiation sources operate in a wavelength range of approximately 270 nanometers to approximately 290 nanometers. A second set of ultraviolet radiation sources operate in a wavelength range of approximately 380 nanometers to approximately 420 nanometers. The illuminator can also include a set of sensors for acquiring data regarding at least one object to be irradiated by the first and the second set of ultraviolet radiation sources. A control system configured to control and adjust a set of radiation settings for the first and the second set of ultraviolet radiation sources based on the data acquired by the set of sensors.

A method of verifying placement of a piece on a work surface is disclosed. An imaging device and an illumination system are electronically interconnected with a computer. The illumination system projects indicia onto a work surface for indicating a location for placement of a piece on the work surface. An indicator is provided to the piece that includes light emission displaying fluorescent wavelengths when illuminated for distinguishing the piece form the work surface. The piece is placed upon the work surface at a location indicated by the laser indicia. The illumination system illuminates the piece presenting a visible contrast between the piece and the work surface enabling the imaging device to distinguish the piece from the work surface. The imaging device signals the controller a location of the piece for the controller to verify accurate placement of the piece.

An imaging system includes: an imaging unit that images a subject; and a control unit that enables the imaging unit to perform pre-imaging one or more times, and main imaging one or more times following the pre-imaging; the control unit has an image generating portion that generates a subject image based on one or more taken images in each of the pre-imaging and the main imaging, an interface portion that displays the subject image and accepts a user input for setting at least a region-of-interest, of the region-of-interest and a non-region-of-interest of the subject image, a region setting portion as defined herein, an SN ratio calculating portion as defined herein, and a total light exposure time calculating portion as defined herein; and the control unit enables the imaging unit to perform the main imaging based on the total light exposure time.

A method is useful for automated detection of antibodies in a liquid biological sample with an antigen chip having antigen spots which are applied thereon and which have an identical, common dye. The antigen spots form respective antigen spot sets which form corresponding respective, regular antigen spot patterns. Furthermore, reference spots comprising the identical dye are applied, and form a reference spot set which forms a regular reference pattern. The reference pattern differs with respect to its regularity from the antigen spot patterns. Through a first image information item which represents a color of the reference spots and of the antigen spots due to the identical, first dye and through a second image information item which represents a potential color of the antigen spots due to a second dye after an incubation, binding of antibodies of the biological sample to respective antigen types is then determined by image processing.

Systems and methods for assessing the effectiveness of a decontamination event to decontaminate a portion of at least one of skin or a covering of the skin of an individual. A dispensing apparatus is attachable to a water dispenser via a water dispenser interface. The dispensing apparatus to house an agent dispensing system and a light source. The light source to emit light in accordance with a predetermined field of view, and to emit the light at a sufficient intensity and wavelength to cause a fluorescent agent dispensed by the agent dispensing system to fluoresce. The field of view defines an inspection space in which the portion of the individual can be positioned to detect at least one of a presence or an absence of the fluorescent agent during the decontamination event.

A method for monitoring cleaning of a surface includes applying an amount of transparent indicator material to an area of a surface and measuring the amount of transparent indicator material remaining on the surface. The transparent indicator material may be fixed on the surface by drying and, when a fluorescent material, may be measured through exposure to ultraviolet radiation.

An electronic device includes a housing; a functional coated film applied on a surface of the housing, the functional coated film being transparent and having a function; and a fluorescent coated film including transparent fluorescent paint and applied on a part of the functional coated film.

Embodiments related to methods of use of an image analysis system for identifying residual cancer cells after surgery are disclosed. In some embodiments, a patient-specific threshold used to detect abnormal cells in a surgical site can be determined. A medical imaging device can be configured to produce a set of images of an anatomy of a patient. An image analysis system, comprising one or more processors, can be configured to receive the set of images, and analyze the set of images to determine a patient-specific threshold to use to detect abnormal tissue of the patient.