the autonomous AI platform for computer vision and edge machine learning
VisionBox is a versatile, autonomous platform designed for real-world machine learning applications. Originally developed as part of the project for biometric payment via facial recognition and smiles, VisionBox has evolved into a multi-functional device capable of analyzing data in various scenarios.
Equipped with a built-in camera and advanced neural network processing, VisionBox operates entirely on edge computing. This means it processes all data locally, without relying on internet connectivity or external servers, and continues to function even when disconnected from power source or network.
Its applications are virtually limitless: VisionBox can serve as a smart payment terminal, a people or vehicle counting system, a space monitoring solution, or a real-time data analyzer. Designed as an all-in-one learning and AI platform, it provides a safe, autonomous environment for experimenting with and deploying machine learning models.
The platform leverages advanced edge computing technologies and neural networks to process video and sensor data entirely on-device. It integrates high-performance hardware with AI frameworks like TensorFlow or PyTorch, ensuring fast, reliable, and private computation without cloud dependency.
VisionBox is designed as a scalable and modular platform. Future updates could include additional sensors, expanded ML model support, and integration with other autonomous systems. Its open-ended design ensures it remains a powerful tool for both learning and practical applications in computer vision and AI.
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
Core features
Autonomous Edge AI
Local Data Processing
Multi-Purpose Camera
On-Device Training
Modular Hardware
Secure Data Handling
Low-Power Consumption
USAGE
Biometric Payments (Pay with a Smile)
VisionBox enables secure, contactless payments using facial recognition and smile detection.
- How it works: The device captures the user’s face, analyzes the features locally on the edge AI system, and confirms the payment without connecting to cloud services.
- Solution provided: Provides fast, convenient, and secure transactions while protecting user data by processing everything offline.
Retail Analytics
VisionBox helps stores and shopping centers analyze customer behavior and foot traffic.
- How it works: Using its high-resolution camera and real-time analytics, the device counts people, tracks movement patterns, and measures engagement.
- Solution provided: Optimizes store layouts, improves marketing decisions, and enhances customer experience through actionable insights.
Security Monitoring
VisionBox enhances security in facilities, offices, and public spaces.
- How it works: Continuously monitors live video feeds, detects unauthorized access, unusual behavior, or intrusions using on-device ML models.
- Solution provided: Ensures real-time security without depending on external servers or cloud connectivity, maintaining privacy and reliability.
Smart Spaces / Building Management
VisionBox optimizes smart buildings and office environments.
- How it works: Tracks occupancy, monitors room usage, and gathers environmental data for lighting, HVAC, and space management.
- Solution provided: Reduces energy consumption, improves space utilization, and automates environmental adjustments for efficiency.
Traffic & Parking Management
VisionBox monitors vehicles and traffic flow in parking lots, streets, or private facilities.
- How it works: Analyzes video feed to count cars, recognize license plates, and track vehicle movement in real-time.
- Solution provided: Supports traffic optimization, parking management, and law enforcement applications with instant insights.
Crowd & Event Analysis
VisionBox provides insights during events or public gatherings.
- How it works: Detects people, tracks density, and monitors behavior patterns using edge AI processing.
- Solution provided: Improves crowd management, safety, and planning for events without relying on cloud-based analytics.
AI Research & Education
VisionBox serves as a practical learning and experimentation platform for machine learning.
- How it works: Users can deploy, train, and test ML models directly on the device using frameworks like TensorFlow or PyTorch.
- Solution provided: Provides a hands-on platform for students, researchers, and developers to experiment with real-world AI applications in a controlled, offline environment.
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