🔍 Metadata-Mining

The EDATApp will develop its own AI for image processing to analyze video streams and convert visual data into privacy-compliant metadata. Edge Computing Architecture Instead of Centralized Cloud: By performing local computations, there is no need to transmit raw images to data centers. The AI analyzes the video on-site to extract "metadata" – these are numerical data such as the number of detected cars and their locations. The information shared with the network is the extracted metadata. This architecture provides both more privacy and less bandwidth burden for the network. Technologies such as OpenCV and ArcGIS are used. Anonymous Detection: Faces, skin color, vehicle license plates, and other personal information are irrevocably discarded. The image processing models perform their detection on anonymized images that are free of personal data.

Justification for a Strong AI Solution:

• Enhanced Metadata Analysis: Faster and more accurate analysis of large data volumes.

• Scalability: Adaptable to growing data volumes.

• Competitive Advantage: Superior analytical capabilities.

• Real-time Processing: Immediate insights and responses.

• Privacy and Security: Processing sensitive data on the device to reduce risks.

*Exception: Accident Detector Option in EnviDa App (Coming Soon) The Accident Detector, soon available in the EnviDa app, offers users involved in an accident the ability to quickly and easily share information, take pictures of the accident scene, and store their insurance information. By using a pre-prepared accident questionnaire, users can effortlessly create a folder in the EnviDa app and contact an accident appraiser. Additionally, towing service and rental car options are offered. To provide this service, we will store the recordings for a certain period in users' personal cloud folders. In the event of an accident, the user can access the videos, similar to a dashcam with an SD card. This approach ensures secure storage of the data and allows for easy management in an emergency. This framework makes every camera in any location an intelligent, privacy-compliant data source that recognizes and transmits numerical information.