The startup offers an image labeling platform that utilizes artificial intelligence and machine learning to automatically label large batches of images in real time. This technology addresses the high costs and scalability challenges associated with manual image labeling, providing businesses with a secure and efficient solution for data analysis.
Funding
$492.3K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
BRFounders
Product
Problem
Manually labeling images for computer vision models is a time-consuming and expensive process, creating a bottleneck for organizations seeking to leverage visual data. Scaling these efforts can be challenging, particularly when dealing with real-time video streams from diverse sources.
Solution
LabelFuse offers a no-code platform that enables non-technical teams to apply and use computer vision. The platform automatically captures and analyzes context-specific incidents from satellite feeds, CCTV, and drone streams, allowing decision-makers to prevent asset damage and loss. Users can connect live camera feeds to the platform, assign tasks of interest, and monitor incidents in real time from a single dashboard. The system provides real-time alerts and predictive analytics to help users focus on critical events and trends.
Target Audience
The primary target audience includes decision-makers in industries such as smart cities, defense, security, and robotics who need to analyze visual data from satellite feeds, CCTV, and drone streams.
Features
- No-code platform for computer vision, enabling use by non-technical teams
- Real-time incident detection and alerting from live video streams
- Support for various camera brands, including AXI, BOSH, DJI, and Flir
- Automated object tracking, searching, counting, and following
- Predictive analytics for trend analysis and decision-making
- GDPR and AVG compliance for data privacy
- Pre-built datasets for various use cases, including defense, traffic flow, and security