AI Research Lab

Interactive Video Intelligence

We develop AI systems that transform static video content into dynamic, explorable experiences through intelligent object recognition and semantic annotation.

Explore Research

Video Demos

Click on a card to see our technology in action.

Movies

Movies

E-commerce

E-commerce

Education

Education

Research Areas

Core Technologies

Our multidisciplinary approach combines computer vision, natural language processing, and human-computer interaction to create intelligent video systems.

Computer Vision

Advanced object detection and semantic segmentation algorithms that identify and track elements across video frames with sub-pixel precision.

Knowledge Graphs

Structured representation of video content relationships, enabling contextual information retrieval and semantic understanding.

Neural Networks

Deep learning architectures trained on large-scale video datasets to understand temporal dynamics and spatial relationships.

Annotation Systems

Intelligent annotation frameworks that automatically generate metadata and enable human-AI collaborative content enrichment.

Human-AI Interaction

Intuitive interfaces that facilitate seamless collaboration between human expertise and artificial intelligence capabilities.

Performance Analytics

Real-time engagement metrics and behavioral analysis systems that provide insights into viewer interaction patterns.

Methodology

Research Process

Our systematic approach to developing intelligent video interaction systems.

01

Data Collection

Large-scale video dataset acquisition and preprocessing for machine learning model training.

02

Model Development

Design and train neural networks for object detection, tracking, and semantic understanding.

03

System Integration

Combine AI models with user interface components for seamless interactive experiences.

04

Validation

Rigorous testing and evaluation with real-world datasets and user studies.

Our Philosophy

Pioneering Real-Time Interactive Video

We believe the future of video is not passive, but an active, explorable experience. Our research is relentlessly focused on pushing the boundaries of real-time AI to transform how we engage with video content. This isn't vaporware; it's a functioning reality. We've built the foundational tools—from a proprietary video editor for object-based metadata annotation to an interactive player that brings it to life. We are not just imagining the future of video; we are building it.

Applications

Real-World Impact

Our technology enables new forms of interactive media across diverse domains.

Sports & E-Commerce

Imagine watching an NBA game where every player is clickable. Instantly view player stats, game info, or even purchase their jersey with a single click. Our technology seamlessly merges sports broadcasting with e-commerce, creating a revolutionary new revenue stream.

  • Real-Time Player Stats
  • In-Video Merchandise Sales
  • Interactive Sponsorship

Media & Entertainment

Transform product placement from a passive ad to an interactive experience. Viewers can click on the suit James Bond is wearing and purchase a limited edition version, or explore details about the car he's driving. This is the future of immersive, monetizable storytelling.

  • Click-to-Purchase Products
  • Contextual Behind-the-Scenes Content
  • Revolutionized Ad Revenue Models

Education Reimagined

Turn passive learning into active discovery. A child watching a safari documentary can click on any animal to bring up fascinating facts and related information, solidifying their understanding in a way that traditional video never could. This is engagement that fuels curiosity.

  • Interactive Learning Modules
  • Context-Aware Information Pop-ups
  • Deeper Student Engagement
Performance

Technical Specifications

Built for precision, speed, and scalability.

30fps

Real-time processing for smooth interactive experiences

GPU-Accelerated

Optimized for CUDA-enabled GPUs with VRAM scaling

Multi-Platform

Native support for Windows, macOS, and Linux systems

System Requirements

Editor (Annotation Tool)

  • → GPU Required (NVIDIA CUDA)
  • → Minimum 6GB VRAM
  • → 16GB+ VRAM recommended
  • → Windows/macOS/Linux

Player (Viewing Experience)

  • → CPU or GPU compatible
  • → 8GB+ RAM recommended
  • → Free download available
  • → Windows/macOS/Linux
Coming Soon

Product Roadmap

The next frontier of interactive video technology.

NOW AVAILABLE

Desktop Applications

Create and view clickable videos with our desktop tools. Annotate existing video content and play back interactive experiences.

  • ✓ CamaraMagic Editor - Add object annotations and metadata
  • ✓ CamaraMagic Player - View and interact with annotated videos
  • ✓ Multi-platform support (Windows, macOS, Linux)
Q1 2026

Live Streaming Integration

Real-time clickable objects in live broadcasts. Transform sports events, concerts, and live shows into interactive experiences.

  • → Live sports broadcasting (NBA, NFL, FIFA)
  • → Real-time object detection and tracking
  • → Sub-second latency for live interaction
  • → Integration with major streaming platforms
Q1 2026

Web-Based Player

Access interactive videos directly in your browser. No downloads required, instant playback on any device.

  • → Browser-based interactive video player
  • → Cross-platform compatibility (desktop & mobile)
  • → Embeddable player for websites
  • → Cloud-based video hosting and delivery
FAQ

Frequently Asked Questions

Everything you need to know about CamaraMagic technology.

What is CamaraMagic?

CamaraMagic is an AI-powered video intelligence platform that transforms ordinary videos into interactive experiences. Using advanced computer vision and machine learning, we enable viewers to click on objects within videos to access additional information, make purchases, or explore related content.

How does the technology work?

Our system uses deep learning neural networks to detect, track, and annotate objects across video frames. The CamaraMagic Editor allows content creators to add semantic metadata to detected objects, while the CamaraMagic Player enables viewers to interact with these annotated elements in real-time.

What are the system requirements?

The CamaraMagic Editor (for creating annotations) requires a GPU-enabled computer with NVIDIA CUDA support. We recommend at least 6GB VRAM, with 16GB+ for optimal performance. The CamaraMagic Player (for viewing) works on both CPU and GPU systems with 8GB+ RAM recommended. Both applications support Windows, macOS, and Linux.

Is the player free to download?

Yes! The CamaraMagic Player is completely free to download and use. It functions similarly to VLC media player but with interactive video capabilities. You can view any video that has been annotated with our Editor tool.

Can this work with live streaming?

Currently, CamaraMagic works with existing video files. However, live streaming support is coming in Q1 2026! This will enable real-time interactive experiences for sports broadcasts, live events, and streaming content with minimal latency.

Will there be a web-based version?

Yes! A web-based player is scheduled for release in Q1 2026. This will allow users to view interactive videos directly in their browser without any downloads, and will be embeddable on websites for seamless integration.

What types of videos work best?

CamaraMagic works with any video format, but performs optimally with high-quality footage that has clear, distinguishable objects. Common use cases include e-commerce product videos, educational content, sports broadcasts, movies/TV shows, and documentary footage.

How do I get started?

Download the CamaraMagic Editor to start creating interactive videos, or download the Player to view annotated content. Visit our downloads page or contact us for access to the tools and documentation.

Contact Us

Have questions or want to learn more? We'd love to hear from you.

Get in Touch