deepsafety
Deepsafety develops AiDAR, a Spatial AI Sensor designed to replace traditional LiDAR technology. This sensor provides highly accurate 3D point cloud data for real-time environmental understanding. The technology offers a certifiable solution at a competitive price point for various industrial applications.
- Agriculture Technology
- Artificial Intelligence
- Construction Technology
- Defense Tech
- Hardware
- Industrial Automation
- Robotics
Funding
Founders
Product
Problem
Traditional LiDAR systems, while accurate, can be expensive and complex to integrate, hindering wider adoption in cost-sensitive applications. The high cost and complexity limit the accessibility of precise spatial understanding for real-time environmental mapping across various industries.
Solution
Deep Safety GmbH offers AiDAR™, a spatial AI sensor that provides LiDAR-like performance at a price point comparable to traditional cameras. AiDAR™ generates 3D point clouds at 10 frames per second, enabling real-time environmental mapping and spatial understanding. By using a camera-based solution, AiDAR™ reduces the cost and complexity associated with traditional LiDAR systems, making it a viable alternative for a broader range of applications. The technology aims to provide precise spatial awareness for AI-driven applications, enhancing safety and enabling certification in industries such as robotics, agriculture, construction, and defense.
Target Audience
The primary target audience includes companies in robotics, agriculture, construction, mining, warehouse automation, aerospace, defense, and automotive industries seeking affordable and certifiable spatial perception solutions.
Features
- Camera-based spatial AI sensor providing LiDAR-like performance
- Real-time 3D point cloud generation at 10 fps
- Cost-effective alternative to traditional LiDAR systems
- Enables precise spatial understanding for AI-driven applications
- Suitable for use in robotics, agriculture, construction, and defense industries