A temperature monitoring system includes an access port configured to mount to an inspection window of a process heater that includes heating tubulars mounted in an inner volume of the process heater, the access port including at least one visual access portion configured to provide visual access to at least a portion of the heating tubulars; a flange assembly including a bore that extends from a first side configured to mount to the access port to a second side; and a thermal imaging system configured to mount to the second side of the flange assembly, the thermal imaging system including at least one thermal image capture device including a field of view through the bore of the flange of assembly and the at least one visual access portion and into the inner volume of the process heater to capture at least one image of radiation emitted from the heating tubulars.

A wearable device includes a case and a far infrared temperature sensing device. The case has a first opening. The far infrared temperature sensing device is disposed inside the case of the wearable device. The far infrared temperature sensing device includes an assembly structure, a sensor chip, a filter structure, and a metal shielding structure. The assembly structure has an accommodating space and a top opening. The sensor chip is disposed in the accommodating space of the assembly structure. The filter structure is disposed above the sensor chip. The metal shielding structure is disposed above the sensor chip, and has a second opening to expose the filter structure. The first and second openings are communicated to cooperatively define a through hole.

A door access control method includes detecting whether a person is intending to pass through a door access control device. Then, it is identified whether a body temperature of the person near the door access control device exceeds a threshold value. The door access control device carries out an unlocking judgment procedure when the body temperature is below the threshold value. The unlocking judgment procedure is not carried out when the body temperature is not below the threshold value. Next, it is identified whether the person is qualified to pass through the door access control device based on the unlocking judgment. The door access control device remains in a locking state when the person is identified as not qualified to pass through the door access control device. The unlocking state is lifted when the person is identified as qualified to pass through the door access control device.

The present disclosure relates to systems and methods that utilize machine learning techniques to improve object classification in thermal imaging systems. In an example embodiment, a method is provided. The method includes receiving, at a computing device, one or more infrared images of an environment. The method additionally includes, applying, using the computing device, a trained machine learning system on the one or more infrared images to determine an identified object type in the environment by at least: determining one or more prior thermal maps associated with the environment; using the one or more prior thermal maps and the one or more infrared images, determining a current thermal map associated with the environment; and determining the identified object type based on the current thermal map. The method also includes providing the identified object type using the computing device.

A telescoping sensor mount capable of systematically extending a sensor above a crop growth canopy. The telescoping sensor mount of the invention includes a foldaway tripod support system and is further capable of being powered with solar energy. The sensor mount and support are capable of extension and retraction and provide a solid base support for the sensors.

A temperature monitoring system for a substrate heating furnace includes a temperature monitor, and the temperature monitor is located on a prong of a mechanical arm which is configured to fetch and place a substrate. The temperature monitor is configured to monitor the temperature of the substrate which has been heated by the substrate heating furnace and is located on the prong.

A magnetofluid pump device for IGBT heat dissipation and a test method therefor are provided. The magnetofluid pump device uses a liquid metal as a coolant, which can absorb more heat than an ordinary water-cooling device and better dissipate heat for IGBT chips. Temperature and pressure changes in an inlet pipe and an outlet pipe of a magnetofluid pump can be monitored in real time through temperature sensors and pressure sensors, and temperature changes of the IGBT chips can be observed in real time through a thermal imager. The test method for the magnetofluid pump device for IGBT heat dissipation proposed by the present invention is simple and easy to implement. A magnetic fluid can be driven to flow by energizing positive and negative electrodes in the magnetofluid pump under the action of magnetic fields, and water-cooling equipment can dissipate heat for the magnetic fluid in the magnetofluid pump.

A temperature controlled calibration source for thermal imaging that provides for extremely inexpensive, mass producible, field deployable thermal calibration in specific, relatively low temperature ranges, and in particular temperatures near nominal human body temperature. A calibration source suitable for such applications may be implemented primarily as a suitable designed Printed Circuit Board (PCB), packaged in a thermally isolating housing and powered of commonly available power sources such as USB chargers.

Some examples include a thermal imaging assembly, comprising a thermal imaging device including a thermal sensor, a transistor to generate heat, a thermal jacket forming a cavity to house the thermal imaging device, the thermal jacket forming a space around the thermal imaging device, the thermal jacket thermally coupled to the transistor to transmit heat generated by the transistor to the cavity, and an insulative shell disposed around the thermal jacket to maintain a temperature of the thermal imaging device within the insulative shell.

A ceiling-mounted sensing unit includes (i) one or more air temperature sensors; (ii) an infrared sensor having a field of view oriented towards a floor of the room; and (iii) a microcontroller receiving readings from both the air temperature sensors and the infrared sensor, the microcontroller providing an estimated temperature at a predetermined distance above the floor of the room based on a model of the room. The model may be based on a double-exponential smoothing function obtained by matching a Kalman filter model. Alternately, the model may be itself a Kalman filter model or a machine learning trained linear model obtained using a linear regression technique, such as L2 regularization. The Kalman filter model uses a state vector that includes both the estimated temperature and a rate of change in the estimated change in temperature. The machine-trained model may be verified using a k-fold cross-validation technique.