Case Studies // Intelligent Systems

Projects & Use Cases

Detailed system performance and case studies from deployed automated systems. Review parameters, integration protocols, and verified outcomes from real-world implementations.

Smart Parking Monitoring

Urban logistics optimization via real-time computer vision and behavioral kinetics

Smart Parking Monitoring concept
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We build an AI tool to detect when cars are parking for the city of bellevue washington. Our tool can detect when paralell parking events occur and when a courier is parking. We have the ability to add human behavior interpretation to these types of tools by monitorning body position and proximity to vehicles or other areas. We can identify and flag anomalous behavior with vehicles or people.

Gun Detection & Security Alerts

Zero-latency threat identification leveraging edge-processed neural networks

Gun Detection & Security Alerts concept
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Our advanced gun detection system utilizes edge-processed neural networks to identify firearms in real-time with 99.8% accuracy. By integrating directly with existing security infrastructure, the platform provides immediate alerting and metadata to response teams, significantly reducing intervention latency and enhancing safety in high-risk urban environments.

Drone Systems Deployment

Autonomous aerial surveillance and multispectral data aggregation

Drone Systems Deployment concept
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We deploy modular drone systems engineered for persistent monitoring and rapid response. These units feature integrated multispectral sensors and autonomous flight protocols, allowing for seamless operation in GPS-denied environments. The deployment provides monitoring centers with a versatile aerial tier for real-time data and modular payload delivery across diverse environments.

Behavioral Analysis

Predictive threat modeling through advanced human kinematics and deep learning

Behavioral Analysis concept
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Our behavioral analysis engine leverages deep learning to monitor human kinetics and identify predictive markers of kinetic intent. By analyzing posture, movement velocity, and proximity patterns, the system flags anomalies before escalations occur. This proactive intelligence layer transforms standard surveillance into an active defense grid capable of early threat detection in crowded public spaces.

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