KARLEO
Solutions
Situational Awareness Platform
Enhancing Safety and Efficiency with Intelligent Insights
Behavior Understanding for Smarter, Safer Decisions
By combining computer vision and AI with multi-source data fusion, our platform offers advanced behavior understanding. Through sequence analysis, anomaly detection, and predictive insights, it empowers real-time decision-making, enabling organizations to enhance safety and efficiency in dynamic environments.
System Overview
Our situational awareness platform integrates three key components: Edge AI for data collection, an AI-powered data center for advanced processing, and a Command & Control interface for real-time decision-making. Together, these elements work to collect, analyze, and visualize data, enabling streamlined operations and enhanced safety.
Datacenter
- Aggregating preprocessed data from Edge AI
- Advanced object tracking and behavior understanding
- Multimodal AI (CV + LLM) for advanced data analysis and pattern recognition
- Automation of complex workflows for enhanced efficiency and streamlined operations
Command & Control
- Management user interface
- AI-powered visualization for dynamic, personalized user experiences
Edge AI
- Smart, diverse IoT devices with built-in AI capabilities
- Real-time data collection and preprocessing from cameras, CCTV, sensors, drones, and GIS
- Scalable for growing deployments
- Minimizes network traffic
- Ensures low latency for faster response times
- Optimized for energy efficiency
Computer Vision and Machine Learning Tasks
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- Object Detection: Identifying and labeling objects (e.g., vehicles, pedestrians) within images or video using trained models like CNNs.
- Object Tracking: Monitoring movement, speed, and trajectory of detected objects across video frames using algorithms like Kalman filters.
- Event Detection: Recognizing critical events (e.g., rule violations) for real-time decision-making.
- Anomaly Detection: Identifying unusual behaviors, such as erratic driving, by spotting deviations from normal patterns.
- Predictive Analytics: Forecasting future scenarios like traffic jams or accidents using historical and real-time data.
Key Applications: Traffic, Industry, Airport Security
Our situational awareness platform is versatile, with powerful applications in traffic surveillance, industrial safety, and airport security. It enables tasks like area entry and exit monitoring, anomaly and incident detection, environmental impact assessment, and flow analysis and optimization. By leveraging real-time data and AI-driven insights, the system enhances safety and operational efficiency across diverse environments.
Traffic
Surveillance
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- Area entry/exit monitoring
- Line crossing detection
- Speed estimation
- Rule violations
- Anomaly & incident detection
- Traffic flow analysis
- Driver behavior insights
- Environmental impact assessment
Industrial
Safety
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- Equipment monitoring
- Restricted area access tracking
- Accident detection
- Progress tracking
- Environment monitoring
Technology Stack
Machine Learning & Data Analysis
Stream Processing
Monitoring & Visualization
