AI Driven Computer Vision System
State-of-the-art Object Detection, Recognition, Tracking and Analysis AI Application System for Real Time Video Streaming and Photos
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State-of-the-art Object Detection, Recognition, Tracking and Analysis AI Application System for Real Time Video Streaming and Photos
Contact Us
Empower your surveillance systems with artificial intelligence-driven machine vision capabilities. The AI-Driven Computer Vision System builts in either software or hardware finds whatever you teach. Powering progress with artificial intelligence-driven machine vision.
An Artificial Intelligence Application: State-of-the-art Object Detection, Recognition, Tracking and Analysis Artificial Intelligence Application System for Real Time Video Streaming and Photos
The AI-Driven Computer Vision System provides very convenient, flexible and powerful deep learning models to perform video and live-video feeds Object Detection, Recognition, Tracking and Analysis. The system's goal is to find all the objects of interest on the image and output their bounding boxes. Object detection of the system is applied to a really wide range of objects all the way from cars to bacteria depending on use cases.
Object detection, recognition, tracking and analysis functions provide self-improving deep learning models. With The AI-Driven Computer Vision System's state-of-the-art deep learning algorithms, it is very easy, fast, adaptable and scalable to detect, identify, locate and track domain-based objects in videos. The system finds and identifies whatever you teach with artificial intelligence-driven machine vision capabilities.
Object tracking of the system is creating a unique ID for each of the initial detections, and then tracking each of the objects as they move around frames in a video, maintaining the ID assignment. The system also retrieve full analytical video analysis data on every frame, second and minute for real-time visualizations. It indexes each object in the image and analyzes the movements of the object and monitors it instantly.
Semantic segmentation of the system is the task of clustering parts of an image together which belong to the same object class. It is a form of pixel-level prediction because each pixel in an image is classified according to a category. Semantic segmentation treats multiple objects of the same class as a single entity and the system predicts the image according to this semantic segmentation.
The Intelligent Vision System provides commercial-grade video analysis using data mining with visualization in real-time and storing instances in a NoSQL database for future review or analysis. The system processes raw, but comprehensive analytical data on the index of the frame/second/minute, detected objects over a second/minute and entire video. Video analysis results are displayed in real time on the dashboard.
Other Features of The AI-Driven Computer Vision System Solution
✔ Detection, Recognition and Tracking
✔ Instant Big Data Analysis
✔ Analysis with Data Mining and NoSQL
✔ Live Stream/Video/Device/IP Cameras Inputs
✔ Camera Hardware and Resolution Independent
✔ IoT Integration
✔ Custom Video Object Training and Detection
✔ Adaptable for Domain-based AI Models
✔ System Capacity Independent
✔ Real-time Detected Object Visualization
✔ Easy Integration with 3rd Party Systems
✔ Video Export in All Formats
✔ Fast and High Accuracy with AI Algorithms
✔ Instant Alarms and Logs Management
✔ Advanced Real Time Reporting Tools
✔ Effective User Interfaces
✔ Platform and Technology Independent
✔ Open Source API
✔ Working with Huge Numbers of IP Cameras up to Thousands
✔ Manageable Deep Learning and Machine Learning Algorithms
✔ Continuous Model Training
✔ Transfer Learning
✔ Fine Tuning for Video Detection Speed
✔ Frame Detection Intervals Functions and Triggers
✔ Video Detection Timeout Settings
✔ Control Multiple Cameras Simultaneously
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