Described herein are systems and methods for determining dryness of produce using image data. A method can include receiving, by a computing system and from an imaging device, image data of a batch of produce, performing, by the computing system, object detection to identify each produce in a frame of the image data, extracting, by the computing system, temperature values in pixels of the identified produce in the frame, and determining, by the computing system, distribution characteristics of the extracted temperature values. The method can also include predicting, by the computing system, a dryness metric for the batch of produce based on applying a trained model to the determined distribution characteristics. The model can be trained using temperature distributions of other produce, the temperature distributions being annotated based on previous mappings of skewness of the temperature distributions to dryness.

Described herein are systems and methods for determining dryness of produce using image data. A method can include receiving, by a computing system and from an imaging device, image data of a batch of produce, performing, by the computing system, object detection to identify each produce in a frame of the image data, extracting, by the computing system, temperature values in pixels of the identified produce in the frame, and determining, by the computing system, distribution characteristics of the extracted temperature values. The method can also include predicting, by the computing system, a dryness metric for the batch of produce based on applying a trained model to the determined distribution characteristics. The model can be trained using temperature distributions of other produce, the temperature distributions being annotated based on previous mappings of skewness of the temperature distributions to dryness.

A security light having optional connection to multiple power supplies. The lighting controller can sense the appropriate connected supply and automatically connect to three different power supplies which include house voltage connection through a typical junction box, a remote solar charging station, and on-board batteries that can be used as a third backup power supply. Additional implementations include power outage detection and backup illumination along with low voltage power supply from a mounting structure.

An automatic darkening filter with adaptive parameter adjustment includes: a welding arc intensity detection unit configured to provide a first signal for determining the welding arc intensity; a solar power supply module configured to provide electric energy for the welding arc intensity detection unit and provide a second signal for determining the ambient light intensity; and a CPU and a light valve, the CPU being configured to calculate a difference between the welding arc intensity and the ambient light intensity based on the first and second signals, and control the scale number of the light valve based on the difference. The automatic darkening filter can realize the automatic adjustment of the scale number, and in the adjustment process, the welding arc intensity signal can be revised based on the ambient light intensity, which can effectively ensure the accuracy of the final determination of the scale number.

An automatic darkening filter with adaptive parameter adjustment includes: a welding arc intensity detection unit configured to provide a first signal for determining the welding arc intensity; a solar power supply module configured to provide electric energy for the welding arc intensity detection unit and provide a second signal for determining the ambient light intensity; and a CPU and a light valve, the CPU being configured to calculate a difference between the welding arc intensity and the ambient light intensity based on the first and second signals, and control the scale number of the light valve based on the difference. The automatic darkening filter can realize the automatic adjustment of the scale number, and in the adjustment process, the welding arc intensity signal can be revised based on the ambient light intensity, which can effectively ensure the accuracy of the final determination of the scale number.

A method and an apparatus for measuring temperature, and a computer-readable storage medium includes detecting a target position of an object in an input image; determining key points of the target position and weight information of each key point based on a detection result of the target position, in which the weight information is configured to indicate a probability of each key point being covered; acquiring temperature information of each key point; and determining a temperature of the target position at least based on the temperature information and the weight information of each key point.

A projector includes a first detection section which has a first sensor provided to an enclosure, and has a first detection axis as a central axis of a first detection range as a detection range of the first sensor, and a second detection section which has a second sensor provided to the enclosure, and has a second detection axis as a central axis of a second detection range as a detection range of the second sensor, and a distance of the first detection range from the first sensor in the first detection axis of the first detection section is longer than a distance of the second detection range from the second sensor in the second detection axis of the second detection section.

According to the various examples, a fully integrated system and method for failure analysis using RF-based thermometry enable the detection and location of defects and failures in complex semiconductor packaging architectures. The system provides synchronous amplified RF signals to generate unique thermal signatures at defect locations based on dielectric relaxation loss and heating.

An imaging device includes a plurality of electronic components, a phase change material, and a heat transfer structure. The plurality of electronic components is configured to collect data and have a predetermined temperature parameter. The plurality of electronic components is disposed within the phase change material. The phase change material has a first material phase and a second material phase. The phase change material has a first material phase and a second material phase. The phase change material is configured to absorb heat through changing from the first material phase to the second material phase. The heat transfer structure is disposed within the phase change material. The heat transfer structure is configured to conduct heat within the phase change material. The phase change material and the heat transfer structure are further configured to regulate a temperature of the electronic components below the predetermined temperature parameter.

A facial recognition system, comprising: an automatically adjustable camera rig comprising a plurality of movable cameras, wherein the plurality of movable cameras are moved by a camera control platform according to take enrollment images; a first input for receiving images from the automatically adjustable camera rig; a second input for receiving a plurality of images from an comparative input; a first computing memory for storing a machine learning model that includes a three dimensional and a two dimensional comparison between the received first input and the received second input, wherein the comparison uses key facial points to compute a distance between the first input and the second input; and a match output in a case of a distance within a predetermined threshold.