R V Shivtej

Indrajaal AUAV System

• Executed drone operations to assist with system integration and sensor testing.
• Carried out drone operations for demonstrations and trial runs
• Collaborated on the integration of various sensors, including radar, direction finders, jammers, repulsors, and others
• Performed site analysis for sensor deployment to optimize placement and minimize interference
• Familiar with GIS tools for sensor deployment
• Performed functional testing of the application using real-time sensors across a variety of environments

Face Recognition Software

• Developed an AI-powered facial recognition software designed to grant access to a select group of individuals entering or exiting a specific area
• The system utilizes artificial intelligence to identify individuals, allowing entry once recognized
• If the person is not recognized, the system triggers an alarm
• Collaborated with business stakeholders and subject matter experts to gather and analyze requirements, perform competitor analysis, and propose cost-effective solutions
• Conducted functional testing and successfully executed test scenarios across various environments

Forest Surveillance System

• Performed site surveys to collect essential data for critical sensor deployment
• Executed drone operations to identify key challenges for sensor installation
• Managed the deployment of sensors for FSS trials
• Conducted manual testing and successfully carried out test scenarios across various environments

Automatic Number Plate Recognition system

• Developed an AI-based Command and Control system for automatic number plate recognition.
• The software utilizes artificial intelligence to identify vehicles and their number plates, employing advanced Optical Character Recognition (OCR) techniques that enable the system to read registration numbers from digital images with high processing speed. Once a number plate is recognized, the system retrieves relevant vehicle information from external databases.
• Conducted functional testing and successfully executed test scenarios across various environments.

• Developed an AI-based Command and Control system for automatic number plate recognition
• The software utilizes artificial intelligence to identify vehicles and their number plates, employing advanced Optical Character Recognition (OCR) techniques that enable the system to read registration numbers from digital images with high processing speed
• Once a number plate is recognized, the system retrieves relevant vehicle information from external databases
• Conducted functional testing and successfully executed test scenarios across various environments