We develop AI systems that transform static video content into dynamic, explorable experiences through intelligent object recognition and semantic annotation.
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Our multidisciplinary approach combines computer vision, natural language processing, and human-computer interaction to create intelligent video systems.
Advanced object detection and semantic segmentation algorithms that identify and track elements across video frames with sub-pixel precision.
Structured representation of video content relationships, enabling contextual information retrieval and semantic understanding.
Deep learning architectures trained on large-scale video datasets to understand temporal dynamics and spatial relationships.
Intelligent annotation frameworks that automatically generate metadata and enable human-AI collaborative content enrichment.
Intuitive interfaces that facilitate seamless collaboration between human expertise and artificial intelligence capabilities.
Real-time engagement metrics and behavioral analysis systems that provide insights into viewer interaction patterns.
Our systematic approach to developing intelligent video interaction systems.
Large-scale video dataset acquisition and preprocessing for machine learning model training.
Design and train neural networks for object detection, tracking, and semantic understanding.
Combine AI models with user interface components for seamless interactive experiences.
Rigorous testing and evaluation with real-world datasets and user studies.
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.
Our technology enables new forms of interactive media across diverse domains.
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.
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.
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.
Built for precision, speed, and scalability.
Real-time processing for smooth interactive experiences
Optimized for CUDA-enabled GPUs with VRAM scaling
Native support for Windows, macOS, and Linux systems
The next frontier of interactive video technology.
Create and view clickable videos with our desktop tools. Annotate existing video content and play back interactive experiences.
Real-time clickable objects in live broadcasts. Transform sports events, concerts, and live shows into interactive experiences.
Access interactive videos directly in your browser. No downloads required, instant playback on any device.
Everything you need to know about CamaraMagic technology.
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.
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.
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.
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.
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.
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.
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.
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.