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Vision AI - Edge and Cloud

Nvidia Metropolis Microservices, Jetson, Vision Zero, Intelligent Traffic Systems, Nvidia Omniverse, Isaac Sim, Deepstream

The Next Wave of Vision AI

  • Large-scale Multi-Camera Tracking

  • Visual Search

  • ​Generative AI Fusion

  • 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:

  • Multi-Camera Tracking - Including Visual Query by Example (QBE)

  • Multi-Brand Camera Heterogeneity

  • Synthetic Data Generation

  • Enhanced Computer Vision and Gen AI Models

  • Advanced Analytics

  • Non-PII / Anonymized Analytics

  • Real-Time Emergency Alerting & Scene Description

  • 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:

  • 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.

  • Learn from Experts: Gain insights from our engineering experts on how to effectively implement and leverage these technologies.

  • Understand Productionization: Explore the detailed steps and processes required to move from demonstration to successful deployment in your environment.

  • 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.

Visual Search, Query by Example

Multi-Camera Tracking and Visual QBE

  • Seamless Integration: Combines data from multiple cameras to provide comprehensive tracking across large areas.

  • Enhanced Accuracy: Improves object identification, tracking accuracy, and behavior analysis by cross-referencing multiple viewpoints.

  • New Metrics: Generates detailed metrics, such as vehicle speed, near-misses, and jaywalking incidents.

  • 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

  • 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.

  • Unified Platform: Integrates various camera systems and sensor types into a single, cohesive platform for streamlined operations.

  • Increased Flexibility

    • Process any video stream without in-camera AI requirements, allowing for greater choice and easier scaling of traffic management systems.

    • Deploy consistent AI algorithms/features across all devices, ensuring uniform performance and capability regardless of camera make, model, or sensor type.

  • Simulated Traffic Camera Playback: Includes the ability to simulate traffic cameras with video playback for testing and training purposes.

Compatible with Axis Communications, Bosch Security Systems, Dahua Technology, FLIR Systems, Hikvision, Jenoptik, Kapsch TrafficCom, Redflex Traffic Systems, Sensys Gatso Group, Siemens Mobility, Teledyne FLIR, Traffic Technologies Ltd., Verra Mobility, Vitronic, and Xerox (Conduent Transportation), and others

Advanced Analytics

  • Vehicle  Metrics & Detections: Accurately measures vehicle counts, speeds, and trajectories while also detecting type, make, model, and license plate recognition. 

  • Vulnerable Road User (VRU) Metrics & Detection: Pedestrian, cyclist, wheelchair user, construction worker, etc. 

  • Near-Miss Analysis: Detects and records near-miss incidents to identify high-risk areas and improve safety measures.

  • Jaywalking Metrics: Monitors and analyzes jaywalking incidents to enhance pedestrian safety.

  • Wrong-Way Detection: Identifies and alerts authorities to vehicles traveling in the wrong direction.

  • Pedestrian Crosswalk Monitoring: Ensures pedestrian safety by monitoring crosswalk usage and compliance.

Non-PII / Anonymized Analytics

  • Privacy Protection: Ensures that all data collected is anonymized and non-personally identifiable, maintaining privacy while providing valuable insights.

  • Ethical Data Use: Adheres to strict data privacy regulations and ethical standards.

Real-Time Emergency Alerting & Scene Description

  • Immediate Notifications: Sends real-time alerts to authorities for incidents such as accidents, hazardous conditions, and other emergencies.

  • Live Scene Description with Gen AI: Utilizes generative AI to provide detailed, real-time descriptions of ongoing incidents, aiding first responders with situational awareness.

  • 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

  • Edge Computing with Nvidia Jetson Orin: Processes data at the edge for low latency and real-time analysis.

  • Hybrid Cloud Infrastructure: Supports massive, multi-thousand, multi-region camera cluster processing across millions of devices, ensuring scalability and flexibility.

kubernetes, containers, microservices,milvus, kafka, spark, flink, triton, tensorrt, deepstream, AWS, Zure, GCP, Rancher
yolo, resnet, llava, llama, ph-3, deepsort, LTSM

Domain-Specific Computer Vision

  • Customized Vision Models: Utilizes domain-specific computer vision models tailored to the unique needs of traffic management and safety.

  • 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

  • Simulating Rare Incidents & Conditions: Generates synthetic data to simulate rare traffic incidents and situations, enhancing model training and accuracy.

  • Robust Modeling: Improves the robustness of traffic management models by providing diverse and extensive training datasets.

Capabilities

  • 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

  • Seamlessly integrates multiple camera feeds for comprehensive tracking and new metrics.

Advanced Analytics

  • Measures vehicle speed, near-misses, jaywalking, wrong-way incidents, and pedestrian crosswalk usage with precision.

Non-PII / Anonymized Analytics

  • Ensures privacy and compliance with ethical data-use standards.

Real-Time Mobile Integration

Real-Time Emergency Alerting

  • Sends immediate notifications and provides live scene descriptions using generative AI.

  • Sends immediate notifications and provides live scene descriptions using generative AI.

Edge and Hybrid Cloud Operations

  • Leverages Nvidia Jetson Orin for edge computing and hybrid cloud for massive scalability.

Domain-Specific Computer Vision

  • Utilizes and fine-tunes vision models for advanced accuracy and configurability.

Synthetic Data Generation

  • Simulates rare incidents and situations for robust model training and accuracy.

Benefits

Comprehensive Traffic Insights

  • Detailed Metrics: Provides in-depth analysis and metrics for vehicle speed, near-misses, jaywalking, and wrong-way incidents, enabling data-driven decisions.

  • Enhanced Tracking: Multi-camera tracking offers a complete view of traffic patterns and incidents.

Improved Safety and Response

  • Real-Time Alerts: Immediate notification of incidents enhances response times and mitigates risks.

  • Live Scene Descriptions: AI-generated descriptions assist authorities in understanding and managing incidents effectively.

  • Mobile Integration: Real-time alerts and live monitoring on mobile phones and in-vehicle devices improve response efficiency.

Flexible and Scalable Solutions

  • Multi-Brand Compatibility: Ensures seamless integration with existing infrastructure, reducing the need for costly upgrades.

  • Scalable Platform: Adapts to the growing needs of urban environments, supporting thousands of cameras and devices.

Ethical and Compliant Data Usage

  • Anonymized Analytics: Maintains public trust by ensuring data privacy and ethical usage.

  • Regulatory Compliance: Adheres to all relevant data-protection laws and standards.

  • Optimized Traffic Management: Enhances traffic flow and reduces congestion through advanced analytics and dynamic control systems.

  • Cost-Effective Implementation: Reduces operational costs and improves resource allocation.

Operational Efficiency

Advanced Accuracy and Configurability

  • Domain-Specific Vision Pipelines: Tailored computer vision pipelines for traffic scenarios.

  • Fine-Tuned Vision Models: Enhanced accuracy and configurability for specific environments.

  • 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:

  1. Expanded Security, Authentication, Authorization, and OIDC Support: Enhanced security measures with robust authentication and authorization protocols, including OpenID Connect (OIDC) support.

  2. Large Vision & Language Model Integration: Seamless integration of large vision and language models for advanced analytics and insights.

  3. State-of-the-Art GPU Capacity Management & Autoscaling: Efficient GPU resource management and autoscaling capabilities to handle dynamic workloads.

  4. Optimizations for Smaller GPU Support: Optimized performance for systems with smaller GPUs, ensuring broad compatibility and cost-efficiency.

  5. Multi-Tenant Deployment: Support for multi-tenant environments, enabling isolated and secure usage for multiple clients.

  6. Large Scale Media Serving: Real-time video, audio, and data-streaming capabilities to handle large-scale media-serving needs.

  7. Enhanced Inference Serving: Advanced capabilities for inference serving, distributed stream processing, messaging, and vector storage.

  8. Enterprise GitOps-based CI/CD & MLOps Automation: Automated continuous integration, continuous deployment, and machine learning operations using GitOps principles.

  9. Leading-Edge Platform Management and Day-Two Operations Tooling: Comprehensive tools for backup, recovery, failover, and other critical day-two operations.

  10. Integrated Financial Management and Cost-Allocation Facilities: Built-in tools for financial management and cost allocation, providing transparency and control over expenditures.

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