817 results about "Heat map" patented technology

Methods of generating heat maps of assets using clustering of assets are disclosed. Some methods include receiving a list of assets, assigning the assets to one or more heat range categories based on the status of the assets, assigning assets operating within a zone to a zone cluster, assigning the assets of the zone cluster to category clusters based on the heat range categories assigned to the assets. The positions of the clusters may be calculated for mapping, and may be displayed on a map. Some embodiments of these methods allow a user to quickly detect and locate non-standard assets on a map while standard assets are consolidated to clusters that are less prominent to the user. This leads to minimizing the time required to form responses to de-load hotspots in an electrical grid, minimizing the cost of assets by reducing the need for hardware redundancy, and minimized equipment outages.

Systems, methods and apparatus may be configured to implement automatic semantic classification of a detected object(s) disposed in a region of an environment external to an autonomous vehicle. The automatic semantic classification may include analyzing over a time period, patterns in a predicted behavior of the detected object(s) to infer a semantic classification of the detected object(s). Analysis may include processing of sensor data from the autonomous vehicle to generate heat maps indicative of a location of the detected object(s) in the region during the time period. Probabilistic statistical analysis may be applied to the sensor data to determine a confidence level in the inferred semantic classification. The inferred semantic classification may be applied to the detected object(s) when the confidence level exceeds a predetermined threshold value (e.g., greater than 50%).

The present invention extends to methods, systems, and computer program products for integrating external and cluster heat map data. Embodiments of the invention include a proxy service that manages (e.g., asynchronous) communication with cloud nodes. The proxy service simulates packets to on-premise services to simplify the integration with an existing heat map infrastructure. The proxy maintains a cache of performance counter mappings and timestamps on the on-premise head node to minimize the impact of latency into heat map infrastructure. In addition, data transfer is minimized by mapping a fixed set of resource based performance counters into a variable set of performance counters compatible with the on premise heat map infrastructure.

Methods and apparatuses are presented for generating and updating heat maps for terrestrial wireless transceivers located in an area or venue. According to some embodiments, a method may include obtaining, by a mobile device, first signal data for a terrestrial transceiver and generating, by the mobile device, a transceiver heat map using the first signal data. The method may further include displaying, by the mobile device, a request to gather additional signal data for the terrestrial transceiver and obtaining, by the mobile device, second signal data for the terrestrial transceiver. The method may further include generating, by the mobile device, an updated transceiver heat map using the second signal data and displaying, by the mobile device, the updated transceiver heat map.

A method and system for displaying predictions on a spatial map includes using a data analyzer for analyzing heterogeneous data having a spatial component to find utilizable data and using machine learning to automatically extract relationships from the utilizable data. The extracted relationships are used to make a prediction about at least one location on the spatial map and present that prediction in an oblique or perspective view. An interface presents the prediction on the spatial map in the form of a heat map overlying a 3-D topographical map. Although the 3-D map can be shown as any form of graphical projection including an oblique projection or orthographic projection, preferably a perspective view is used. It is also preferred that the graphical projection be interactive. The heat map may be 2-D or 3-D and be selectively displayed depending on the preference of a user.

This invention relates to a real-time calibration method and a device for infrared temperature test, which sets an infrared camera head used in collecting the infrared radiation signals of a tested object, sets a constant temperature source same to the infrared radiation rate of the tested object, in which, the source is on the same data collection surface with the tested object, the infrared radiation signals of the object and the constant temperature source are input into the computer to be processed to form a heat picture, at the same time, the real temperature value of the source is collected to get the temperature deviation value to calibrate the heat picture temperature data value of the tested object.

Embodiments provide methods and apparatus for effectively using signal strength and other data from a robot to optimize robot operation. In one embodiment, the cleaning robot can interact with other home controllers over a network to optimize the operation of the cleaning robot. In one embodiment, the cleaning robot measures a variety of data as it travels through a space, and generates a map (e.g., a heat map). The data is provided in different layers for easy display and selection by a user. In one embodiment, the cleaning robot can act as a hub for communicating with other home controllers and coordinating actions.

System and method for displaying information regarding a business process. A diagram of the business process may be displayed on a display. The diagram may include a plurality of icons connected by lines, where each of the icons represents a respective step in the business process and the lines indicate flow paths between the steps. Historical data regarding the business process may be received. The historical data may be analyzed to determine information regarding steps and/or flow paths in the business process. Graphical indications associated with one or more icons and/or lines in the diagram may be displayed. The graphical indications may visually indicate characteristics of corresponding steps and/or flow paths in the business process. For example, the graphical indications may indicate lengths of time, costs, or other characteristics associated with various ones of the steps. The graphical indications may indicate path traversals of ones of the flow paths.

A method for processing a virtual reality video (“VRV”) by a virtual reality (“VR”) computing device comprises identifying objects in the VRV for interactive product placement, generating interactive objects for the VRV based on the identified objects, embedding the VRV with the generated interactive objects, and storing the embedded VRV. Creation of interactive product placements is provided in a monoscopic or stereoscopic virtual reality video. Users' gaze directions are recorded and analyzed via heat maps to further inform and refine creation of interactive content for the virtual reality video.

The invention discloses a ship collision risk analysis method based on AIS (automatic identification system) data. Based on historical AIS data and standard ship selection and conversion, a density clustering algorithm is used for establishing a heat map of a ship collision risk to realize spatiotemporal visualization of the ship collision risk; based on real-time AIS data and the ship position field, the course direction field, and the navigational speed field, a regional ship collision risk assessment model is constructed, and a Gaussian kernel function kernel density estimation algorithm isused for proposing a dynamic ship collision risk visualization method to realize areal-time update of the regional ship collision risk. The ship collision risk analysis method is based on the AISdata,the spatiotemporal visualization of the ship collision risk is realized,the visual image after the complex abstract ship traffic flow multi-attribute information is effectively dug and fused is realized, so that the risk level of the environment of the location of the ship can be intuitively and conveniently obtained by a driver or an operator, thusself-alertness is improved, the reasonable control measures are taken, and the safe operation of the ship is ensured.

The invention provides an image alignment method based on a novel end-to-end face super-resolution network. In the image alignment method, a face super-resolution network and a face super-resolution generative adversarial network are mainly involved; the image alignment method comprises the following process: constructing a coarse-grained super-resolution (SR) network for recovering a coarse-grained high-resolution (HR) image; sending the coarse-grained HR image to a fine-grained SR encoder and a prior information estimating network respectively, wherein the fine-grained SR encoder is used forextracting image features and the prior information estimating network is used for estimating a critical point heat map; restoring the HR image by using the image features and prior information in adecoder, wherein in order to further generate a realistic face, the face super-resolution generative adversarial network is provided and adversarial loss is brought into the face super-resolution network. A network consisting of the face super-resolution network and the face super-resolution generative adversarial network is used for image alignment, so that the imaging quality can be effectivelyimproved and the image alignment method is simplified.

Systems and methods for image modification to increase contrast between text and non-text pixels within the image. In one embodiment, an original document image is scaled to a predetermined size for processing by a convolutional neural network. The convolutional neural network identifies a probability that each pixel in the scaled is text and generates a heat map of these probabilities. The heat map is then scaled back to the size of the original document image, and the probabilities in the heat map are used to adjust the intensities of the text and non-text pixels. For positive text, intensities of text pixels are reduced and intensities of non-text pixels are increased in order to increase the contrast of the text against the background of the image. Optical character recognition may then be performed on the contrast-adjusted image.

System and method for displaying information regarding a business process. A diagram of the business process may be displayed on a display. The diagram may include a plurality of icons connected by lines, where each of the icons represents a respective step in the business process and the lines indicate flow paths between the steps. Historical data regarding the business process may be received. The historical data may be analyzed to determine information regarding steps and/or flow paths in the business process. Graphical indications associated with one or more icons and/or lines in the diagram may be displayed. The graphical indications may visually indicate characteristics of corresponding steps and/or flow paths in the business process. For example, the graphical indications may indicate lengths of time, costs, or other characteristics associated with various ones of the steps. The graphical indications may indicate path traversals of ones of the flow paths.

The invention discloses an infrared nondestructive testing method based on thermal image time sequence characteristics. The new method with pixel as a unit is used for the infrared nondestructive test of flaws and is based on thermal image time sequence characteristics and PNN (probabilistic neural network). The infrared nondestructive testing method comprises the following steps: firstly, obtaining an infrared time sequence thermal image of a heating test piece in a cooling process by an infrared thermal imager; secondly, extracting the gray values of normal and abnormal areas in the time sequence thermal image, establishing the relationship between the gray values of different areas and time and then obtaining the corresponding initial time sequence characteristics; thirdly, reducing the dimensions of the initial characteristics by adopting main constituent analysis so as to obtain the time sequence characteristics; and finally establishing the probabilistic neural network with the time sequence characteristics as training samples.

Techniques are described for aligning heat map information more efficiently to an actual geometry of an area of interest. A sequence is generated corresponding to consecutive runs of included and/or excluded grid points. The sequence is provided to a device in addition to heat map information corresponding to a number of grid points. The provided heat map information may be compressed and/or may be assigned to grid points in a reoriented area overlaying the area of interest. The device uses the sequence to map the heat map information to grid points in an area. In one technique, information corresponding to inaccessible locations are excluded from the heat map.

For training data pairs comprising training text (a radiological report) and training images (radiological images associated with the radiological report), a first encoder network determines word embeddings for the training text. A concept is generated from the operation of layers of the first encoder network, which is regularized by a first loss between the generated concept and a labeled concept for the training text. A second encoder network determines features for the training image. A heatmap is generated from the operation of layers of the second encoder network, which is regularized by a second loss between the generated heatmap and a labeled heatmap for the training image. A categorical cross entropy loss is calculated between a diagnostic quality category (classified by an error encoder) and a labeled diagnostic quality category for the training data pair. A total loss function comprising the first, second, and categorical cross entropy losses is minimized.

The invention discloses a papillary thyroid cancer pathological image classification method based on deep learning, and mainly solves the problem of poor classification effect on papillary thyroid cancer pathological images in the prior art. According to the scheme, the method comprises the following steps: 1) reading a papillary thyroid cancer pathological section image with an amplification factor of 20, and inputting the papillary thyroid cancer pathological section image into an improved VGG-f convolutional neural network to obtain an attention heat map; 2) normalizing the attention diagram to obtain a discrimination force region position; reading a 40-time amplified thyroid cancer pathological image and obtaining an image block according to the position of the discrimination area; 3)inputting the image blocks into an original VGG-f network, constructing a loss function, and performing supervised training on the network; 4) extracting trained VGG-f network convolution features andperforming classification processing to obtain categories of the image blocks, and 5) judging the categories of the thyroid cancer pathological images according to the categories of the image blocks.The classification accuracy is high, and the method can be used for classifying the thyroid cancer papillary cancer pathological images by a computer.

The invention provides a heat map providing method. The method comprises steps that a request of a user for playing a heat map of a preset event in a preset geographical area at the preset time segment is received; the data of the preset event generated at the preset geographical area at the preset time segment is acquired; according to the acquired data, a corresponding heat map is drafted by employing a webpage development language-heat map (WebGL-heatmap) drafting method; the draft heat map is displayed on a generated map base map, and the draft heat map is transmitted to a user. Through the method, the heat map can be rapidly generated and provided for the user, so various demands of the user can be satisfied, and user experience can be improved.

The invention discloses a method and a system for generating a heat map. The method comprises the steps of: acquiring a counter real scene image including at least a customer's face; identifying the counter real scene image to obtain identity information of the customer, location information of the customer at a counter area and customer's attention information; and generating a heat map associated with the customer, goods and the counter area based on the identity information, location information and attention information. The method and the system can find out the degree of influence of goods types, goods positions, customer locations or customer attributes based on the generated heat map, so as to further optimize the design of the counter or to provide the highest matching goods recommendation/promotion strategy for customers.

The invention discloses a vehicle detection method based on a key point heat map, and aims to provide a novel vehicle detection method by combining specific characteristics of a vehicle with prediction of the key point heat map, and the technical key point is as follows: (1) labeling a key point data of a specific attribute position of the vehicle; (2) extracting features of the image of the vehicle by adopting a funnel network; and (3) adopting improved key point pooling to obtain characteristics composed of a key point heat map, an embedded vector and an offset vector, supplementing global information of the positioned vehicle by utilizing the characteristics of the positioned license plate or wheel, removing an incorrect target frame, finally obtaining a target positioning frame with relatively good robustness, and predicting the direction of the vehicle.