ANSVIS is a high-performance AI vision platform for deploying, monitoring, and managing intelligent video analytics tasks in real-time. Users can import trained models from ANSTS or leverage built-in models to start immediately.
With support for Intel and NVIDIA GPUs, ANSVIS enables scalable AI vision solutions, real-time event monitoring, and seamless integration into diverse hardware environments, empowering businesses to implement AI vision quickly and efficiently.
Real-Time Video Analytics
ANSVIS processes and analyzes video streams locally, providing immediate insights for monitoring, quality control, and decision-making without delays.
Complete Data Security
All AI computations occur on-site with Intel or NVIDIA GPUs, eliminating the need for cloud processing and ensuring sensitive data remains fully protected and private
Flexible Deployment & Integration
Enables integration with LabVIEW or other systems, enabling scalable AI vision solutions across diverse environments.
How It Works
Choose between NVIDIA GPU, Intel CPU Server as AI inference engine.
Key Features
Universal Camera Support
ANSVIS is compatible with a wide range of camera devices, enabling flexible input options for real-time video analytics and monitoring.
RTSP Camera
Stream live video from network cameras seamlessly, ideal for surveillance, industrial monitoring, or distributed camera setups.
Onboard Camera
Instantly leverage built-in laptop or device cameras for quick testing and small-scale deployments.
RTMP Camera
Connect to live streaming cameras with RTMP support, perfect for broadcasting or remote monitoring workflows.
USB/Web Camera
Plug-and-play compatibility with standard USB or web cameras, making setup fast and hassle-free.
HLS Camera
Use HLS streams from web or network sources, providing reliable, adaptive video input for diverse environments.
Simulated Camera
Feed video files or image sequences as virtual camera inputs, ideal for testing, development, and training
Image pre-processing
Enhances the quality and relevance of video input before AI analysis. This ensures cleaner, more precise, and efficient analysis, improving detection accuracy for tasks like object detection, license plate recognition, and behavior analysis.
Active Crop (Dynamic Tracking)
Instead of analyzing the entire frame, the AI dynamically follows user-defined regions or patterns, focusing on objects of interest for more efficient detection
Image Enhancement
Adjust brightness, contrast, apply auto white balance, flip, rotate, or convert to grayscale to improve clarity and model performance.
Frame & Format Adjustment
Crop static regions, resize, or standardize frame resolution to meet model input requirements.
Flexible AI Model
ANSVIS can automatically optimized models for Intel and NVIDIA GPUs to deliver peak performance effortlessly. Use built-in models, import ANSTS-trained models, third-party models, or your own custom models—all fully supported in ANSVIS format.
Built-In Models
Ready-to-use models like Facial Recognition, ALPR, OCR, Generic Object Detection, Fire & Smoke Detection, with more coming in future updates
User Models
Easily integrate ANSTS-trained, third-party, or custom models for diverse AI vision applications.
Automatic Optimization
Models are tuned automatically for Intel and NVIDIA GPUs, ensuring high-performance inference without manual configuration.
Advanced Rule Configuration
ANSVIS empowers users to define complex AI behavior by creating rules that trigger alerts or actions, enabling precise, scenario-specific monitoring.
Smart Rule Types
Define conditions such as object presence, path monitoring, boundary crossing, counting, entry/exit, and more.
Targeted Object Selection
Specify which objects from AI models to monitor for targeted detection.
Dynamic Thresholds
Set numeric or categorical limits to control when rules are triggered.
Multi-Layer Detection
Combine different rules and extra detection pipelines for complex, multi-step scenarios
Interactive ROI
Draw regions of interest using rectangle, polygon, or line shapes to focus monitoring on key areas.
Scheduled Monitoring
Set active monitoring periods to trigger rules based on time or date.
Centralized Monitoring & Reporting
Monitor multiple video feeds and AI detections in real time while using detailed logs and dashboards to track performance and make data-driven decisions.
Multi-Feed Monitoring
View and manage multiple camera streams and AI detection results in a single interface for real-time situational awareness.
Interactive Dashboards
Explore detection trends, performance metrics, and event summaries through intuitive visualizations.
Comprehensive Event Logging
Record detailed logs of AI detections and system events for analysis, auditing, and continuous improvement.
Seamless System Integration
ANSVIS effortlessly integrates with various systems and workflows, enabling AI vision outputs to enhance automation, monitoring, and reporting without disrupting existing operations.
LabVIEW Integration
Directly feed AI vision data into LabVIEW workflows for automation, monitoring, and control.
Message Brokers
Support for MQTT, RabbitMQ, and Pulsar for reliable message distribution across distributed systems.
VMS Compatibility
Native support for VMS platforms such as NXWitness and Luxriot for seamless video management integration.
DAQ Systems
Integrate AI outputs with data acquisition hardware for automation and control applications.
HTTP & Webhooks
Send real-time AI events to web services or custom applications via HTTP requests
Notifications & Alerts
Push notifications and email alerts for instant awareness of AI-detected events
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