Valerann
IoT Road Sensors for Traffic Control and Monitoring
- Active
- Hardware
News
Business Overview
Business Description
Valerann develops end-to-end traffic control and monitoring systems that provide information to support and connect smart vehicles, ordinary vehicles, and authorities, creating a stable base for a complete smart transportation ecosystem. Valerann developed a wireless sensory IoT system that is integrated into the road, providing real-time high-resolution information about everything that occurs on the road, from traffic flow to hazards and road conditions.
Operating Status
Active
Founded
August 2016
Total Employees
31
Sectors
Sub Sectors
Offering Type
Hardware, Software
Business Model
B2B, B2G
Business Stage
Launched
People
Funding
Total Funding
$24,000,000
Last Funding Round
Seed
Valuation
Funding Rounds
Investors
AI Technology Stack
AI Description
Valerann has developed a state-of-the-art traffic management data platform that uses all available sources of information, to provide real-time, high-resolution insights and predictions by leveraging AI and Big Data algorithms. In today’s reality, where data sources are limited, Valerann also offers a proprietary solution that seamlessly integrates IoT wireless sensing technologies into roads, transforming them into a data-generating, connected infrastructure. Presenting detailed high-resolution, real-time visual information down to the single-vehicle level, showing traffic behavior, driving patterns and hazards. Using AI, the map can choose which information to highlight, based on the most urgent and relevant events that the operator chose to be aware of. Valerann’s cloud combines information collected from existing sensors and the Valerann gateways, and uses machine-learning algorithms to map, track and predict everything that takes place on the road. This enables a comprehensive, real-time, high-resolution data platform.
AI Technology
Artificial Intelligence, Computer Vision, Deep Learning, Machine Learning
AI Employees
3
Learning Types
AI Tasks
Algorithms and Techniques
Classification, Clustering, Regression
Cloud Provider
Amazon Web Services
Frameworks, Libraries and Tools
NumPy, Pandas, Pytorch, Scikit-Learn, TensorFlow
Coding Languages
Python, R
