RADON DETECTORS REAL TIME

Brand Owner Address Description
ECOQUBE Ecosense, Inc. 1460 Maria Way San Jose CA 95117 Radon detectors for real-time, on-site and remote sensing, detecting, monitoring and measuring of radon levels, and for collecting, logging, recording and reporting radon detection data and information; Recorded software for real-time, on-site and remote sensing, detecting, monitoring and measuring of radon levels, and for collecting, logging, recording and reporting radon detection data and information; Downloadable computer application software for displaying radon level indicators, for sending notifications and transmitting alarm systems system alerts, for data sharing among multiple users and subscribers, and for enabling interaction among multiple between smart devices;Database design and development services, namely, developing and maintaining cloud-based radon database processing and management systems for collecting, logging, calculating, processing, analyzing, diagnosing and storing radon data from radon detectors; Providing users and subscribers with an online searchable database in the field of radon detecting that features radon detection data searchable by area, recommended radon levels searchable by area based on the locations of the users and subscribers, and recommendations of radon industry professionals based on user and subscriber locations and associated radon data; Compiling and analyzing radon industry trend data for scientific research purposes; developing radon map systems that depict and display radon levels by area based on radon industry trend data; providing scientific data in the field of radon detecting via the Internet;
 

Where the owner name is not linked, that owner no longer owns the brand

    
Technical Examples
  1. A system and method are disclosed for effectively utilizing universal feature detectors to generate closely-correlated universal feature information for use in various content-retrieval procedures. In certain embodiments, the universal feature detectors may generate a multi-scale gaussian pyramid based upon selected original image data by iteratively performing a series of summing transforms. The universal feature detectors may also calculate multi-scale histograms corresponding to the multi-scale gaussian pyramid, and may then perform Radon transforms upon the multi-scale histograms to produce and store corresponding Radon transform lines. The universal feature detectors may also generate a multi-scale laplacian pyramid from the multi-scale gaussian pyramid by iteratively performing a series of difference transforms. The resultant universal feature information may then advantageously provide various types of required feature information with optimal binding characteristics.