February 2026

Interactive Maps – Labels Enhancements

Enhanced Label Control and Validation on Interactive Maps:

• Strengthened label-level permissions to ensure each label type (Detection/Landmark, BluSKY, User, and DWG) supports only its allowed operations.
• Restricted movement and deletion of system-generated labels (Detection/Landmark and BluSKY) with clear validation messages when restricted actions are attempted.

 

• Ensured Landmark labels cannot be moved from the map and display appropriate error messaging when moved via subtools.

 

 

• Prevented deletion of BluSKY and Landmark labels from both the map and right-side panel

• Allowed full edit control (move, rename, delete, add) only for User-added labels.

• Ensured all label operations consistently follow their defined permissions across the map and right-side panel.

b.    Auto Label Pipeline Mask Cleanup Enhancement:

• Enhanced the auto label pipeline to automatically delete older mask images from the data lake when a new mask is generated for a map.
• Ensured that after the pipeline runs, only the latest generated mask file is retained in the map’s mask folder.

Before the new mask image is generated.

New Mask image after the map is changed and pipeline is triggered.

c.    Improved Mask Image Loading Behavior:

• Prevented the “No mask image” message from appearing while switching maps from the dropdown in the Interactive Maps dashlet.
• Ensured the mask image message is displayed only after the newly selected map has fully loaded.

d.   Disabled Color Picker for Labels in Interactive Maps:

• Disabled the color picker tool in edit mode when selecting labels on the Interactive Maps page.
• Prevented users from modifying label colors to maintain standardized label styling and consistency.

e.   Label UI Enhancements and Validation Improvements:

• Implemented a minimum 3-character validation for label names. If a user removes all characters or enters fewer than 3 characters, an error message is displayed and the previous valid label name is automatically restored.

• Standardized label appearance across view and edit modes:
  • Default state: Transparent background with black text.

On hover: White background with black text for improved readability.

• Optimized display for long labels (more than 20 characters):
• By default, only the beginning and ending portion of the label text is shown.

• Full label text is displayed on hover, selection, and during text editing, ensuring clarity without cluttering the map.

• Introduced a category icon prefix for every label to clearly differentiate between BluSKY Regions, Landmarks, User labels, and Map File (DWG) labels.

Enhanced category icon tooltips to clearly communicate restricted operations for each label type:

BluSKY Regions: Cannot be deleted.

• Landmarks: Cannot be moved or deleted.

• User and Map File (DWG) labels: All operations supported.

 

Categorized Labels in Right Panel:

• Improved the Interactive Maps Labels panel by grouping labels by their source of generation (BluSKY Auto, Map File Auto, User, and Landmarks Auto) and displaying category-wise counts to provide clearer organization and easier navigation.

Enhanced Contextual Naming for Detection Labels:

• Updated pipeline-generated detection labels to show clearer and more descriptive names based on their actual location on the map, instead of displaying generic label names.

Label Category Filters in Interactive Maps:

• Added category-based filter icons under the Labels subtools, allowing users to toggle visibility of labels by type, with changes reflected simultaneously on both the map and the right-side Labels panel.

Auto Label Pipeline Triggered from Device Configuration Updates:

• Implemented automatic triggering of the Auto Label Pipeline whenever device configurations are modified from their respective config pages.
• Pipeline is triggered on supported actions such as Add, Name Change, Map Change, Delete, and Undelete (as applicable per device type).
• Upon triggering, associated maps are reprocessed and a new mask image is generated to reflect updated device changes.
• Applied to the following device types: Camera, Intercom, Person Reader, AIC, Beacon, Elevator Car, Portal, Monitoring Point, Control Point, Mercury Reader, and Mercury Controller.
• Ensured maps remain synchronized with device updates by automatically regenerating detection and region labels where required.

AI Ticketing (beta)

Configuration List View Filters Enhancement

• Added individual filter controls to Categories, Subcategories, and SLA configuration list views to help users quickly narrow down records.
• Enabled filtering by Priority, Category, and Active status (where applicable), allowing faster identification and management of configuration items.
• Introduced Search and Clear Filters actions across configuration lists to apply selected filters instantly or reset views back to the full dataset.

  . SLA Policy Time Picker Enhancement

• Updated the SLA Policy configuration to use Days, Hours, and Minutes pickers for Response Time and Resolution Time, removing the need for manual time calculations.
• Improved UI clarity and readability by displaying SLA time values in a human-friendly format during creation and edit.
• Added a backend enhancement to accurately convert and store the selected picker values as total SLA Response and Resolution times.

AI Suggestions Enhancement

• Introduced AI Suggestions to automatically analyze user inputs, system behavior, and contextual data to generate meaningful insights and recommendations.
•  AI Suggestions help summarize issues, highlight likely root causes, and identify impacted areas, reducing manual investigation effort.
• Integrated AI-generated responses directly into the UI, allowing users to review insights alongside relevant reference information and knowledge articles.

AI Suggestions with Knowledge Base References

• Enhanced AI Suggestions to include relevant knowledge base (KB) documents as reference attachments, helping users validate and understand AI-generated insights.
• Added the ability to preview KB files directly in a modal, allowing users to review detailed documentation without leaving the ticket or context view.
• Enabled download functionality for referenced KB articles, making it easier to retain, share, or further analyse supporting information provided by AI.

AI Ticket Classification & Subject Assignment

• Introduced AI-powered ticket classification to automatically assign Category and Subcategory based on ticket content, minimizing manual input and improving accuracy.
• Added automatic Subject assignment using AI, ensuring tickets have meaningful and consistent subjects without requiring user entry.
• AI classification and subject assignment are triggered when a ticket is created and whenever the ticket is edited, keeping ticket details up to date as information changes.

Workflow Configuration Module

• Introduced a Workflow List View under Configuration, displaying workflows in a clear grid with Workflow Name, Description, Workflow Type, Trigger Type, and Active status.
• Enabled users to quickly identify active and inactive workflows using visual indicators, improving visibility and management of automation and notification workflows.
• Added support for managing different workflow types (such as Automation and Notification) and trigger types (for example, Ticket Created, Status changed) from a centralized configuration screen.

Create Workflow

• Introduced a Create Workflow page under Configuration, allowing users to define new workflows with essential details such as Workflow Name, Description, Workflow Type, and Trigger Type.
• Added support for system-level scoping, enabling workflows to be configured based on System Group, System, and Facility for better targeting and control.
• Included an Active toggle to easily enable or disable workflows at creation time, providing flexibility in managing workflow execution.

Workflow Steps Management

• Introduced Workflow Steps to define structured, multi-step automation within workflows, enabling precise control over ticket processing and actions.
• Added a dedicated Workflow Steps section within the Edit Workflow page, allowing users to add, edit, and delete steps through an intuitive modal interface.
• Enhanced step configuration with support for multiple Step Types including Approval, Notification, and Automation, along with configurable actions and parameters.
• Implemented dynamic Workflow Conditions, allowing steps to execute based on ticket attributes such as Category, Priority, Status, Assignee, and Custom Fields, with flexible AND/OR logic.
• Enabled robust Workflow Member assignment, supporting Person, Role, and Group members with exemption handling, duplicate prevention, and clear visual management.
• Improved usability with validation, pre-population on edit, and clear empty-state messaging when no steps, conditions, or members are configured.

Oracle Intelligence module 

Overview

This release introduces major enhancements to the BluB0X AI experience with the Oracle Chat Agentic System v1.2 along with a brand-new Oracle Intelligence module available directly inside the Intelligence menu in BluSKY.

The update focuses on secure AI access, conversational reporting, people administration, performance improvements, and a new permission-controlled Oracle feature.

New: Oracle Intelligence Module (BluSKY)

• A new Oracle feature is now available under the Intelligence menu in BluSKY.
• Enables conversational access to operational, visitor, and access-control data.
• Includes a separate permission service — only authorized users can access Oracle Intelligence capabilities.
• Supports role-based visibility and security filtering.

OracleChat Agentic System v1.2

The OracleChat system has been significantly upgraded with a multi-agent AI architecture that intelligently understands user questions and routes them to the appropriate specialized system automatically.

Users can now:

• Ask questions in natural language
• Generate reports instantly
• Manage people & permissions
• Retrieve documentation with citations
• Access only authorized data automatically

Security & Permissions

• Row-level security enforced on all queries
• Automatic filtering based on user access rights
• AI-assisted permission filter merging
• Configurable fail-safe modes
• Permission caching for faster repeated queries
• New dedicated permission service for Oracle Intelligence

Intelligent Multi-Agent Routing

A supervisor AI automatically determines the request type and routes it to specialized agents:

• Reporting Agent: Generates reports & analytics
• People Admin Agent: People, roles & access management
• System Setup Agent: Device & hardware queries
• Knowledge Agent: Documentation & help content

Automated Reports (Excel Download + Answers)

Users can generate reports via conversation:

1. Who’s In Report – Occupancy tracking

2. Expected Visitor Report – Upcoming visitors

3. Visitor Arrivals Report – Check-ins & no-shows

4. Event History Report – Access events & audit trail

Features:

• Secure download link (7-day expiry)
• Ask follow-up questions about report data
• Permission-filtered results
• Real-time progress updates

People Administration via Chat

Users can now query:

• Person details & contact information
• Roles & permissions
• Access levels & door rights
• Department & building assignments
• Employment status

All results respect user access permissions.

Documentation with Citations

• AI responses now include referenced source sections
• Improves transparency and auditability
• Helps verify policy and procedure answers

Performance Improvements

• Multi-layer caching
• Faster response time for simple queries
• Optimized AI model selection (cost vs accuracy)
• Improved concurrent request handling

Summary

This release delivers:

• New Oracle Intelligence menu in BluSKY
• Dedicated permission service for Oracle features
• Conversational AI reporting & administration
• Secure, role-aware data access
• Multi-agent AI orchestration
• Faster and more scalable performance

Oracle Intelligence & OracleChat – Feature Walkthrough Screenshots (Feb 2026)

Please refer to the attached document for screenshots demonstrating the Oracle Intelligence menu location, live database query responses, AI reasoning transparency, and citation-backed answers for better understanding of the new functionality.

Click to download > Oracle Intelligence & OracleChat – Feature Walkthrough Screenshots (Feb 2026).docx

Database Questions

Shows the BluB0X AI chat answering a real-time database query. The user asks "How many people are there in the building?" and the AI responds with "There are currently 331 active employees in the building." A collapsed Reasoning (4 steps) section is visible above the final output, indicating the AI reasoned through the query before returning a live database result.

Oracle Menu under Intelligence

Shows the BluSKY application dashboard with the top navigation Intelligence dropdown open. The Oracle menu item is highlighted with a red box, indicating it is a newly added entry under Intelligence (alongside Analytics, Analytics Dashboard, Data Lake, and Reports). This screenshot demonstrates where users can access the Oracle feature from the main nav.

Reasoning Steps

Shows the BluB0X AI chat with the reasoning steps panel expanded (highlighted in red). The user asks "How to add a new person in blusky?" and the AI's internal reasoning is visible:

• Step 1 – Mode Selected: Auto-classified as QUICK / high complexity, using model gpt-4o-mini
• Step 2 – Supervisor Init: Routing the query to a knowledge/documentation agent

This screenshot demonstrates the transparency of the AI's multi-step reasoning process.

Reply with references

Shows the BluB0X AI chat response (continuing from the "add a person" query) that includes a detailed, structured answer with Best Practices, Common Errors, and Troubleshooting sections. At the bottom, a References (9) badge is shown, with 9 source documents cited (e.g., raw_Create_a_Person.txt, raw_BluB0X_API_Guidance.txt, etc.). This highlights the AI's ability to back its answers with traceable knowledge sources.