| AutoCameraROID: Dynamically manages regions of interest (ROIs) and disinterest (RODs) in camera fields-of-view, ensuring cameras monitor relevant activities efficiently. |
| AutoFloorPlanROID: Creates automated, labeled regions on floor plans, integrating real-time data and user inputs to optimize security-focused spatial management. |
| AutoHomography: Accurately maps camera images to floor plans, combining automatic detection with manual refinements, significantly improving camera positioning and surveillance accuracy. |
| Cloud Video Analytics: Employs YOLOv8 for rapid object detection, tracking, and classification in video streams and snapshots, enabling real-time and comprehensive scene monitoring. |
| Autonomous Object Detection and Classification: Continuously detects, classifies, and catalogs objects in scenes, updating BluSKY's database to maintain accurate object recognition capabilities. |
| AutoPreference: Lets users intuitively manage personal preferences via natural language across BluSKY devices, enhancing user experience with real-time profile updates. |
| AutoRole: Analyzes behavioral data to assign and update user roles automatically, optimizing permissions, communications, and emergency responses. |
| Elevator Car Analytics: Provides detailed real-time and historical analysis of elevator usage, improving safety and operational efficiency through precise monitoring. |
| EMS Data Fusion: Integrates multiple data sources using a Kalman Filter to predict and optimize elevator operations in real time, adapting dynamically to demand. |
| FloorEyes: Analyzes and normalizes building floor plans, identifying objects and spatial relationships, enhancing spatial accuracy for effective management. |
| Person Reader NLP v1: Integrates voice commands into person readers for hands-free biometric opt-ins and floor selections, streamlining interactions and improving convenience. |
| PROMPT Database: Integrates advanced AI for multimodal prompt management and automation, supporting complex task automation and intuitive prompt interactions. |
| ScrubIT: Analyzes video content, summarizing scenes and facilitating powerful search capabilities through detailed metadata tagging. |
| AutoBackground: Generates optimal background images for each camera, providing a clear baseline for overlays like heat maps, ensuring accurate analytics. |
| AutoFloor: Accurately detects and maps floor areas within camera views, enhancing spatial context and improving scene analysis accuracy. |
| AutoID v2: Optimizes photo ID image management, ensuring high-quality identification images are consistently utilized across BluSKY. |
| AutoEnhance: Automatically enhances image quality for improved clarity and accuracy, essential for reliable identification and analysis. |
| AutoDDE: Optimizes elevator dispatch by dynamically assigning floors based on user behavior, streamlining building navigation. |
| AutoDeploy: Efficiently manages deployment of new AI models, ensuring seamless integration and minimal operational disruption. |
| AutoAudit: Continuously audits system performance and compliance, enabling proactive anomaly detection and corrective actions. |
| AutoCameraConfig: Automates camera configurations based on detailed user instructions, ensuring optimal performance aligned with security objectives. |
| AutoDefaultFloor: Dynamically assigns default floors based on analyzed travel patterns, enhancing accuracy and operational insight. |
| AutoLPR: Automates license plate recognition, integrating vehicle data with access control for enhanced operational security. |
| AutoPortalConfig: Optimizes access point configurations dynamically to minimize false alarms and maximize operational effectiveness. |
| AutoProfile: Creates detailed, continually updated user profiles by aggregating data from diverse sources, enhancing personalized system interactions. |
| FaceScrub: Maintains a high-quality, diverse facial image database, optimizing facial recognition accuracy and reliability. |
| Location Estimation (v2 & v3): Utilizes predictive models and sensor data to enhance accuracy of user location estimations within facilities. |
| RideSenseIQ: Monitors and optimizes elevator ride quality through continuous sensor analysis, predictive maintenance, and detailed reporting. |
| RaceTrack: Analyzes and visualizes movement paths within camera views, enhancing building traffic flow management and spatial optimization. |
| SceneIT: Aggregates snapshot data to provide comprehensive scene analysis and descriptions, significantly enhancing surveillance effectiveness. |
| SNAP24: Performs advanced snapshot analysis for robust object identification and scene understanding, supporting detailed scene analytics. |
| VideoScrub: Creates compressed, analytically-filtered video summaries for efficient review of security footage, enhancing event prioritization and analysis. |
