Satori Worldwide, LLC

Renat Idrisov

Timofey Barmin

Methods and systems for road recognition and traffic counting for complex thoroughfares are described. The method includes receiving a set of video frames captured by one or more electronic devices. The set of video frames includes a capture of a thoroughfare. The method further includes identifying an object featured in each respective video frame of a subset of the set of video frames, generating a plurality of vectors corresponding to a direction of motion of the object, combining intersecting vectors of the plurality of vectors, and generating a graphical map of at least one road in the thoroughfare based at least in part on the combination of intersecting vectors.

Automatic thoroughfare recognition and traffic counting

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, are described for: allocating a first pool of workers on a plurality of nodes, wherein each node comprises one or more of the workers from the first pool; providing a first set of instructions to the first pool of workers for performing a first task configured to interact with a computer system; activating the first pool of workers to perform the first task; updating at least a portion of the first set of instructions for a subset of the first pool of workers while the workers are performing the first task; and monitoring at least one performance metric associated with the computer system while the workers from the subset of the first pool are performing the first task.

Distributed scalable workload testing

A method includes receiving a plurality of video frames from a video source, wherein each video frame of the plurality of video frames comprises a view of a geolocation. The method further includes detecting a first object entering a first side of a first video frame of the plurality of video frames. The method further includes determining, from the plurality of video frames, that the first object has stopped in an area of the geolocation for at least a threshold amount of time. The method further includes detecting the first object leaving a second side of a second video frame of the plurality of video frames. The method further includes identifying, by a computer processing device, the area of the geolocation as a region of interest based on the detecting the first object leaving.

Growing community of inventors

Berlin, Germany

Renat Idrisov