Vision AI - Edge and Cloud


The Next Wave of Vision AI
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Large-scale Multi-Camera Tracking
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Visual Search
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Generative AI Fusion
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Synthetic Data Generation
Transforming Traffic Safety with NeoSavant.ai
As experts in deploying Nvidia Metropolis Microservices, NeoSavant.ai brings a suite of new and advanced capabilities to enhance traffic safety and management. Our edge and platform implementation offers cutting-edge capabilities tailored for municipalities, state, and federal agencies, providing unprecedented insights and operational efficiencies.
Innovative Capabilities:
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Multi-Camera Tracking - Including Visual Query by Example (QBE)
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Multi-Brand Camera Heterogeneity
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Synthetic Data Generation
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Enhanced Computer Vision and Gen AI Models
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Advanced Analytics
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Non-PII / Anonymized Analytics
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Real-Time Emergency Alerting & Scene Description
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Edge and Hybrid Cloud Operations
Experience NeoSavant's Advanced Capabilities Firsthand
We offer fully on-demand end-to-end platform environments for demonstration and training. This unique opportunity allows clients to explore our advanced capabilities, understand the step-by-step processes, and witness the detailed engineering that ensures successful productionization.
Our AI infrastructure facilities support edge (Nvidia Jetson) and cloud (AWS, Azure, GCP, and On-Prem) deployments, with options for full deployment on client cloud accounts for early hands-on exploration.
By scheduling a demo or consultation, you can:
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See Our Platform in Action: Experience the full range of advanced traffic safety and management solutions powered by Nvidia Metropolis Microservices integrated with NeoSavant AI models and other AI capabilities.
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Learn from Experts: Gain insights from our engineering experts on how to effectively implement and leverage these technologies.
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Understand Productionization: Explore the detailed steps and processes required to move from demonstration to successful deployment in your environment.
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Explore Build, Operate, Transfer (BOT) Option: We can provide a full customized platform build and implementation, or, based on given the complexity and learning curve, operate the environment on your behalf while providing training and upskilling. At a future time of your choosing, we can offer the option to transfer full control to your team, ensuring a seamless transition and both early and ongoing success.

Multi-Camera Tracking and Visual QBE
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Seamless Integration: Combines data from multiple cameras to provide comprehensive tracking across large areas.
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Enhanced Accuracy: Improves object identification, tracking accuracy, and behavior analysis by cross-referencing multiple viewpoints.
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New Metrics: Generates detailed metrics, such as vehicle speed, near-misses, and jaywalking incidents.
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Visual Query by Example (Visual QBE): Allows users to interactively select an object within video feeds to find and track specific objects or behaviors across multiple camera feeds.
Multi-Brand Camera and Sensor Heterogeneity
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Interoperability & Savings: Supports all major camera brands and a wide range of camera types, including thermal, radar, and lidar sensors, eliminating the need to pay for and manage redundant or seldom-used per-camera AI features.
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Unified Platform: Integrates various camera systems and sensor types into a single, cohesive platform for streamlined operations.
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Increased Flexibility
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Process any video stream without in-camera AI requirements, allowing for greater choice and easier scaling of traffic management systems.
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Deploy consistent AI algorithms/features across all devices, ensuring uniform performance and capability regardless of camera make, model, or sensor type.
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Simulated Traffic Camera Playback: Includes the ability to simulate traffic cameras with video playback for testing and training purposes.

Advanced Analytics
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Vehicle Metrics & Detections: Accurately measures vehicle counts, speeds, and trajectories while also detecting type, make, model, and license plate recognition.
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Vulnerable Road User (VRU) Metrics & Detection: Pedestrian, cyclist, wheelchair user, construction worker, etc.
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Near-Miss Analysis: Detects and records near-miss incidents to identify high-risk areas and improve safety measures.
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Jaywalking Metrics: Monitors and analyzes jaywalking incidents to enhance pedestrian safety.
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Wrong-Way Detection: Identifies and alerts authorities to vehicles traveling in the wrong direction.
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Pedestrian Crosswalk Monitoring: Ensures pedestrian safety by monitoring crosswalk usage and compliance.
Non-PII / Anonymized Analytics
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Privacy Protection: Ensures that all data collected is anonymized and non-personally identifiable, maintaining privacy while providing valuable insights.
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Ethical Data Use: Adheres to strict data privacy regulations and ethical standards.


Real-Time Emergency Alerting & Scene Description
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Immediate Notifications: Sends real-time alerts to authorities for incidents such as accidents, hazardous conditions, and other emergencies.
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Live Scene Description with Gen AI: Utilizes generative AI to provide detailed, real-time descriptions of ongoing incidents, aiding first responders with situational awareness.
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Real-Time Mobile Integration: Delivers alerts and live monitoring to mobile phones and in-vehicle V2X/mobile devices, enabling prompt response from authorities (e.g., police cars dispatched in response to wrong-way detection).
Edge and Hybrid Cloud Operations
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Edge Computing with Nvidia Jetson Orin: Processes data at the edge for low latency and real-time analysis.
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Hybrid Cloud Infrastructure: Supports massive, multi-thousand, multi-region camera cluster processing across millions of devices, ensuring scalability and flexibility.


Domain-Specific Computer Vision
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Customized Vision Models: Utilizes domain-specific computer vision models tailored to the unique needs of traffic management and safety.
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Large Vision Model Fine-Tuning: Enhances accuracy and configurability by fine-tuning large vision models to adapt to specific traffic scenarios and environments.
Synthetic Data Generation
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Simulating Rare Incidents & Conditions: Generates synthetic data to simulate rare traffic incidents and situations, enhancing model training and accuracy.
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Robust Modeling: Improves the robustness of traffic management models by providing diverse and extensive training datasets.
Capabilities
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Supports a wide range of camera brands and models for flexible integration. Includes simulated traffic camera playback for testing and training.
Multi-Camera Tracking
Multi-Brand Camera Heterogeneity
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Seamlessly integrates multiple camera feeds for comprehensive tracking and new metrics.
Advanced Analytics
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Measures vehicle speed, near-misses, jaywalking, wrong-way incidents, and pedestrian crosswalk usage with precision.
Non-PII / Anonymized Analytics
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Ensures privacy and compliance with ethical data-use standards.
Real-Time Mobile Integration
Real-Time Emergency Alerting
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Sends immediate notifications and provides live scene descriptions using generative AI.
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Sends immediate notifications and provides live scene descriptions using generative AI.
Edge and Hybrid Cloud Operations
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Leverages Nvidia Jetson Orin for edge computing and hybrid cloud for massive scalability.
Domain-Specific Computer Vision
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Utilizes and fine-tunes vision models for advanced accuracy and configurability.
Synthetic Data Generation
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Simulates rare incidents and situations for robust model training and accuracy.
Benefits
Comprehensive Traffic Insights
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Detailed Metrics: Provides in-depth analysis and metrics for vehicle speed, near-misses, jaywalking, and wrong-way incidents, enabling data-driven decisions.
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Enhanced Tracking: Multi-camera tracking offers a complete view of traffic patterns and incidents.
Improved Safety and Response
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Real-Time Alerts: Immediate notification of incidents enhances response times and mitigates risks.
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Live Scene Descriptions: AI-generated descriptions assist authorities in understanding and managing incidents effectively.
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Mobile Integration: Real-time alerts and live monitoring on mobile phones and in-vehicle devices improve response efficiency.
Flexible and Scalable Solutions
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Multi-Brand Compatibility: Ensures seamless integration with existing infrastructure, reducing the need for costly upgrades.
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Scalable Platform: Adapts to the growing needs of urban environments, supporting thousands of cameras and devices.
Ethical and Compliant Data Usage
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Anonymized Analytics: Maintains public trust by ensuring data privacy and ethical usage.
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Regulatory Compliance: Adheres to all relevant data-protection laws and standards.
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Optimized Traffic Management: Enhances traffic flow and reduces congestion through advanced analytics and dynamic control systems.
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Cost-Effective Implementation: Reduces operational costs and improves resource allocation.
Operational Efficiency
Advanced Accuracy and Configurability
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Domain-Specific Vision Pipelines: Tailored computer vision pipelines for traffic scenarios.
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Fine-Tuned Vision Models: Enhanced accuracy and configurability for specific environments.
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Synthetic Data Generation: Enhances model training with simulated rare incidents for robust and accurate modeling.
Technical Enhancements
At NeoSavant.ai, we've implemented a suite of advanced technical enhancements to ensure our platform delivers top-tier performance, security, and scalability:
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Expanded Security, Authentication, Authorization, and OIDC Support: Enhanced security measures with robust authentication and authorization protocols, including OpenID Connect (OIDC) support.
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Large Vision & Language Model Integration: Seamless integration of large vision and language models for advanced analytics and insights.
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State-of-the-Art GPU Capacity Management & Autoscaling: Efficient GPU resource management and autoscaling capabilities to handle dynamic workloads.
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Optimizations for Smaller GPU Support: Optimized performance for systems with smaller GPUs, ensuring broad compatibility and cost-efficiency.
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Multi-Tenant Deployment: Support for multi-tenant environments, enabling isolated and secure usage for multiple clients.
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Large Scale Media Serving: Real-time video, audio, and data-streaming capabilities to handle large-scale media-serving needs.
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Enhanced Inference Serving: Advanced capabilities for inference serving, distributed stream processing, messaging, and vector storage.
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Enterprise GitOps-based CI/CD & MLOps Automation: Automated continuous integration, continuous deployment, and machine learning operations using GitOps principles.
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Leading-Edge Platform Management and Day-Two Operations Tooling: Comprehensive tools for backup, recovery, failover, and other critical day-two operations.
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Integrated Financial Management and Cost-Allocation Facilities: Built-in tools for financial management and cost allocation, providing transparency and control over expenditures.