This company provides AI-powered video analytics solutions for applications like traffic management and safety monitoring. Their technology analyzes video feeds to detect events such as pedestrian movement, road hazards, and infrastructure conditions, offering real-time insights for improved decision-making.
Funding
Funding not disclosed
Founders
Product
Problem
Many industries lack efficient and accurate methods for analyzing visual data from sources like surveillance cameras and dashcams. Traditional methods often require manual review, which is time-consuming, costly, and prone to human error. This creates challenges in areas such as traffic management, safety monitoring, and infrastructure maintenance.
Solution
Nauh provides AI-powered video analytics solutions that automate the analysis of visual data for various applications. Their technology uses deep learning models to detect and classify objects, track movement, and identify events in real-time. The platform offers both cloud-based and edge-based processing options, enabling flexible deployment based on specific needs. By automating video analysis, Nauh helps organizations improve operational efficiency, enhance safety, and gain valuable insights from their existing video infrastructure. The company's solutions include traffic monitoring, pedestrian analysis, accident detection, and infrastructure condition assessment.
Target Audience
Nauh's primary customers include city planners, construction companies, transportation agencies, and businesses that require real-time video analytics for traffic management, safety monitoring, and infrastructure maintenance.
Features
- AI-powered object detection and classification for vehicles, pedestrians, and other objects
- Real-time traffic volume measurement and analysis, including vehicle counts by type (car, truck, bus, motorcycle, bicycle)
- Speed estimation and tracking of vehicles
- Identification of traffic incidents such as accidents and fallen objects
- People flow measurement and attribute recognition (gender, age)
- Digital twin simulation using collected traffic and people flow data
- Cloud and edge-based processing options for flexible deployment
- Desktop application for local, high-speed video analysis
- Integration with existing surveillance camera systems and dashcams
- Customizable AI models to detect specific objects or events
- Road surface condition monitoring for detecting road freezing and cracks