CurrentSky · Edge AI
The autonomous AI platform for computer vision & edge ML
Runs entirely on-device — no cloud, no network, even when disconnected from power.
What it is
Vision that runs anywhere
VisionBox is a versatile, autonomous platform for real-world machine learning. Born from a project for biometric payment via facial recognition and smiles, it evolved into a multi-functional device that analyzes data across countless scenarios.
With a built-in camera and neural-network processing, it runs entirely on edge computing — all data processed locally, no internet or external servers, working even when disconnected from power or network.
On-Device ML Deployment ✦ Security Monitoring ✦ Object Recognition ✦ Vehicle Monitoring ✦ Facial Recognition
On-Device ML Deployment ✦ Security Monitoring ✦ Object Recognition ✦ Vehicle Monitoring ✦ Facial Recognition
On-Device ML Deployment ✦ Security Monitoring ✦ Object Recognition ✦ Vehicle Monitoring ✦ Facial Recognition
Under the hood
Core features
Autonomous Edge AI
Runs neural networks fully on-device — no cloud in the loop.
Local Data Processing
Everything is computed locally; nothing leaves the box.
Multi-Purpose Camera
One high-resolution sensor, many jobs.
On-Device Training
Deploy, train, and test models right on the hardware.
Modular Hardware
Add sensors and expand capability as needs grow.
Secure Data Handling
Offline processing keeps data private by design.
Low-Power Consumption
Efficient edge compute — runs even off the grid.
Usage
One device, many jobs
Biometric payments
Pay with a smile: captures a face, analyzes features locally, and confirms the transaction with no cloud — fast, contactless, private.
Retail analytics
Counts people, tracks movement and engagement to optimize store layouts and marketing decisions.
Security monitoring
Watches live feeds for intrusions and unusual behavior with on-device ML — no external servers, full privacy.
Smart spaces
Tracks occupancy and room usage to automate lighting, HVAC, and cut energy consumption.
Traffic & parking
Counts cars, recognizes plates, and tracks movement in real time for traffic and parking management.
Crowd & event analysis
Detects people and density to improve crowd safety and planning at events — no cloud dependency.
AI research & education
Deploy, train, and test ML models on-device with TensorFlow or PyTorch — a hands-on, offline AI lab.
The platform
Modular by design
High-performance hardware paired with AI frameworks like TensorFlow and PyTorch, ensuring fast, reliable, private computation with no cloud dependency — scalable and ready for whatever comes next.
Edge Computing ✦ TensorFlow & PyTorch ✦ Offline & Private ✦ Modular Hardware ✦ Real-Time Analytics
Edge Computing ✦ TensorFlow & PyTorch ✦ Offline & Private ✦ Modular Hardware ✦ Real-Time Analytics
Edge Computing ✦ TensorFlow & PyTorch ✦ Offline & Private ✦ Modular Hardware ✦ Real-Time Analytics
Build vision at the edge
Want to deploy VisionBox or build on the platform? Let’s talk.