Drishti Technologies, Inc.

Intuit, Inc.

Wipro Limited

Ritesh Jain

Krishnendu Chaudhury

Devashish Shankar

Ananya Honnedevasthana Ashok

Sujay Narumanchi

Servesh Pratap Singh

Sreenivas Kunapuli

Smita Shankar

Techniques for detecting cycle data can include determining object properties and motion properties in a set of consecutive frames of a sensor stream. The cycle data can be determined from the object properties and motion properties without detecting constituent objects. The object properties and motion properties enable improved detection of cycle data in the presence of different object poses, different positions of the object, partial occlusion of the object, varying illumination, variation in the background, and or the like.

Cycle detection techniques

One embodiment of the present invention relates to a system that enables a single software application instance to support multiple tenants, wherein each tenant is associated with a separate database. First, the software application instance receives an input, wherein the input requires an operation to be performed on a database of one of the supported tenants. Next, the software application instance identifies the tenant with which the input is associated. The software application instance then obtains a context associated with the tenant. From the context, the software application instance obtains a service object. Finally, the software application invokes a method provided by the service object's class. This enables a data access object, which is encapsulated within the service object, to perform the operation on the database.

System for supporting a multi-tenant data architecture

This disclosure relates generally to enterprise software management, and more particularly to systems and methods for determining digital degrees of separation for digital program implementation. In one embodiment, a digital degrees of separation determination system is disclosed, comprising a hardware processor, and a memory storing instructions executable by the processor for obtaining user credentials, and determining a user classification based on the user credentials. The processor may execute the instructions for identifying a user digital need based on the user classification, and querying a database for market-available software applications related to the user digital need. Further, the processor may execute the instructions for obtaining a list of user-accessible software applications related to the user digital need, and comparing characteristics of the market-available software applications to the user-accessible software applications. Also, the processor may execute the instructions for calculating a digital degrees of separation based on the comparison.

Systems and methods for determining digital degrees of separation for digital program implementation

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Bengaluru, India

Ritesh Jain