Provided are methods for thermal sensor data vehicle perception, which can include obtaining thermal sensor data, obtaining non-thermal sensor data, and determining, based on the thermal sensor data and the non-thermal sensor data, a perception parameter indicative of an object. Some methods described also include generating a trajectory for an autonomous vehicle. Systems and computer program products are also provided.

Provided are methods for thermal sensor data vehicle perception, which can include obtaining thermal sensor data, obtaining non-thermal sensor data, and determining, based on the thermal sensor data and the non-thermal sensor data, a perception parameter indicative of an object. Some methods described also include generating a trajectory for an autonomous vehicle. Systems and computer program products are also provided.

The present disclosure is a substrate processing apparatus including: a chamber configured to accommodate a substrate; a heat source configured to heat-treat the substrate; a heat ray sensor provided outside the chamber and configured to receive infrared rays radiated from the substrate; and an infrared ray transmission window provided in the chamber and configured to transmit an infrared ray having a wavelength greater than or equal to 8 μm to the heat ray sensor.

Disclosed is an apparatus for non-destructive-type diagnosis of a degree of degradation of a battery. The apparatus includes: a chamber inside which a battery subject to inspection is arranged; a charging and discharging unit connected to a lead portion of the battery and charging or discharging the battery; a thermoelectric element module thermally connected to the battery and generating an electromotive force caused by heat generated by charging and discharging the battery; a first measurement unit measuring the electromotive force generated by the thermoelectric element module; a second measurement unit measuring a change in impedance due to the charging and discharging of the battery; and a determination unit comparing data on the electromotive force of the battery, measured by the first measurement unit, and data on the impedance of the battery, measured by the second measurement unit, with pre-prepared comparative data and determining a degree of degradation of the battery.

Disclosed is an apparatus for non-destructive-type diagnosis of a degree of degradation of a battery. The apparatus includes: a chamber inside which a battery subject to inspection is arranged; a charging and discharging unit connected to a lead portion of the battery and charging or discharging the battery; a thermoelectric element module thermally connected to the battery and generating an electromotive force caused by heat generated by charging and discharging the battery; a first measurement unit measuring the electromotive force generated by the thermoelectric element module; a second measurement unit measuring a change in impedance due to the charging and discharging of the battery; and a determination unit comparing data on the electromotive force of the battery, measured by the first measurement unit, and data on the impedance of the battery, measured by the second measurement unit, with pre-prepared comparative data and determining a degree of degradation of the battery.

A motion detector that can automatically adjust a dwell time used by the motion detector to prevent unnecessary transmissions as an activity level of an area increases or decreases. The motion detector determines the activity level in the area and if the activity level is increasing, the dwell time is reduced and vice-versa.

A detection system (10) and a detection method (2000) are disclosed herein. The system includes a PIR sensor (12) positioned in an area comprising a plurality of sub-areas, the motion sensor comprising an optical device (22) having a plurality of sub-lenses (26, 28, 30), each sub-lens of the plurality of sub-lenses having a field of view (FOV) corresponding to a sub-area of the plurality of sub-areas. The system further includes at least one processor (32) coupled to the PIR sensor and configured to: activate the plurality of sub-lenses to generate a total sensor FOV comprising each FOV of the plurality of sub-lenses; and dynamically control the plurality of sub-lenses to subdivide the total sensor FOV, wherein the subdivided sensor FOV is smaller than the total sensor FOV.

Embodiments herein are generally related to apparatus and methodologies for improved screening of important biological states in animals. The apparatus and methodologies comprise the use of high-resolution infrared thermography images collected about an animal to obtain both thermal information and behavioural information about the animal, wherein both thermal and behavioural information can be used to generate a comprehensive thermal prolife value that is indicative of the biologically important state in the animal.

A system for monitoring a switchgear includes an infrared camera; a processing unit; and an output unit. The infrared camera acquires a first infrared image having a first number of pixels, and the processing unit determines a pixel in the first infrared image with a maximum temperature. The processing unit utilizes a second number less than the first number to determine a temperature interval for the first infrared image equal to a difference between the maximum temperature in the first infrared image and a threshold temperature in the first infrared image. The processing unit is configured to determine that a hot spot exists in the switchgear using the temperature interval for the first infrared image.

A method of detecting presence and location uses sensor data received from a plurality of thermopiles, each thermopile having a different field of view. In response to detecting a change in the sensor data, stored background values for each field of view are accessed and then the location of a body (e.g. a human or animal)is determined based on differences between the sensor data and sensor values predicted using a forward model and the stored background values for each field of view. Having determined the location, the stored background values are updated based on differences between the sensor data and the predicted sensor values for a body at the determined location.