• Helm Chart Version: 2.1.1
• Alembic Version: 08ce5bad54ec

Features

• Detection Scenario Template: Provides the ability to save and manage repeatedly used detection scenarios as templates. This can shorten scenario creation and application time and increase operational efficiency.
• Structural reorganization for multi-scenario: The App UI/UX and related system structure have been completely improved to improve usability in a multi-scenario environment.
• VM and Agent status notification: If a problem occurs with the VM or Agent, a notification function has been added so that the status can be checked at a glance on the frontend. This allows you to quickly recognize and respond to issues that arise during operations.
• Large-scale camera registration: Added the ability to register multiple cameras at once. Even in environments where many cameras are operated, repetitive tasks can be reduced and registration times can be shortened.
• Support for checking camera bitrates: You can more easily check and manage server resource usage by providing expected bitrate information when registering a camera.
• Meta Intelligence Support: A feature has been added where EVA Agent's meta intelligence recommends detection settings for higher accuracy and detection performance. Meta Intelligence's recommendations can be found at the top of the chat window.

Performance Enhancements

• Scenario Category Settings: The existing emergency / general setting functions have been expanded to category functions. Users can create desired categories and apply them to detection scenarios to more systematically classify and manage detection notifications according to importance.
• Camera details screen improvement: The information area of the camera details screen has been reorganized into a tab form to match the multi-scenario structure. This allows you to check information on various registered detection scenarios more intuitively.
• Improved detection target & area settings:
  • Setting convenience has been improved by separating the detection target setting and detection area setting screens.
  • Improvements have been made to allow individual detection targets for each scenario to be set in accordance with the multi-scenario environment.
  • The UI/UX of the Image Guided Detection function has been completely improved to provide a more intuitive setup experience.
  • When modifying the threshold through chat, it has been improved to apply to the same target in all scenarios.
• Camera list improvements:
  • For cameras that have received meta-intelligence-based recommendation notifications, an icon has been improved to display next to the camera name.
• Changed to display registered detection scenario information based on scenario name in accordance with the multi-scenario structure.
• Export API Improvement: The Device UUID field has been added to the Export API, and the API function has been improved so that only necessary data can be searched based on Device UUID.
• Webhook settings for each detection scenario: The ability to set webhooks for each detection scenario has been added to enable more flexible integration with external systems.
• Expansion of data transmission for n8n integration: The range of data that can be transmitted has been expanded to increase the scalability of n8n-based workflow integration.
• Application of lifecycle to chat messages: Lifecycle has been applied to chat messages as well so that expired data is not visible.