Transforming urban mobility through intelligent computer vision
The Urban Transportation Crisis
$100B
Annual Global Loss
Traffic congestion costs worldwide
1.35M
Lives Lost
Annual road traffic deaths globally
94%
Human Error
Of serious traffic crashes caused by driver behavior
Current traffic systems are reactive, not proactive. Cities struggle with outdated infrastructure while drivers navigate with limited real-time assistance.
Intelligent Traffic Vision
AI-Powered Detection
Computer vision using optimized AlexNet for real-time traffic analysis
Instant Response
Immediate alerts to drivers, authorities, and connected systems
01
Capture
Continuous monitoring of traffic conditions, pedestrians, and infrastructure
02
Analyze
Real-time AI processing detects accidents, congestion, and hazards
03
Alert
Instant notifications enable proactive responses and improved safety
How VisionFlow Works
Edge AI Processing
AlexNet model optimized for real-time object detection on embedded hardware
Multi-Target Recognition
Vehicles, pedestrians, traffic signals, road conditions, and infrastructure damage
Smart Outputs
Driver alerts, city analytics, predictive warnings, and emergency response triggers
Deployable in vehicles, public transit, or at intersections. Works seamlessly with existing infrastructure while providing intelligent insights.
Technical Architecture
AI Model
AlexNet optimized and compressed for edge deployment with 90%+ accuracy rates
Hardware Platform
Raspberry Pi, NVIDIA Jetson, or custom PCB designed for automotive environments
Software Stack
PyTorch/TensorFlow with OpenCV for computer vision processing
Cloud Integration
Optional AWS/Edge ML connectivity for advanced analytics and fleet management
Massive Market Opportunity
Developing countries with high accident rates and poor infrastructure represent our primary growth opportunity. Government investment in smart city initiatives continues accelerating globally.
Competitive Positioning
We're positioned uniquely at the intersection of affordability and comprehensive traffic intelligence, making advanced AI vision accessible to emerging markets.
Revenue Strategy
B2G Solutions
Direct sales to municipalities for comprehensive traffic management systems
B2B Partnerships
Integration with logistics companies and commercial fleet operators
B2C Market
Aftermarket devices for individual drivers through automotive retailers
SaaS Analytics
Subscription-based data insights and traffic intelligence dashboards
Proven Results & Growth Plan
Current Achievements
Working AlexNet prototype deployed
90%+ object detection accuracy verified
Successful edge hardware integration
Initial city partnership discussions
12-Month Roadmap
Hardware miniaturization completion
Pilot program with transportation departments
Fleet partner integrations
Series A preparation and scaling
Early test results demonstrate commercial viability with strong accuracy rates exceeding industry standards.
Investment Opportunity
Funding Target
$150K Pre-Seed Round
Hardware development and optimization
Use of Funds
Model optimization, pilot programs, team expansion
Growth Metrics
Path to $1M ARR within 18 months
"Join us in revolutionizing urban transportation through intelligent AI vision. Together, we can make streets safer and cities smarter."