iPin Labs provides an AI-driven indoor positioning solution that utilizes self-supervised SLAM technology to deliver real-time asset tracking and management in complex indoor environments. This system addresses the challenge of accurately locating and monitoring assets without the need for extensive infrastructure or manual data labeling, significantly reducing setup time and operational costs.
Funding
Funding not disclosed
Founders
Product
Problem
Many industrial facilities struggle with inefficient asset management due to the difficulty of accurately tracking equipment and personnel in complex indoor environments. Traditional indoor positioning systems often require costly infrastructure investments, extensive manual data labeling, and are slow to adapt to environmental changes.
Solution
iPin Labs offers an AI-powered digital twin solution that provides real-time indoor positioning and asset management without requiring extensive infrastructure. Their self-supervised SLAM technology leverages existing infrastructure like Wi-Fi, BLE, and movement sensors to create accurate indoor trajectory maps. The system automatically distinguishes between indoor and outdoor environments, identifies floor levels, and allows users to set up geofences for access control. Location data is accessible through a web portal, mobile app, and API, enabling integration with existing enterprise systems.
Target Audience
The primary target audience includes industrial facilities, smart factories, warehouses, medical centers, and transportation services seeking to improve asset management, reduce downtime, and optimize operational efficiency.
Features
- AI-driven indoor positioning using self-supervised SLAM technology
- Real-time asset tracking and location monitoring on a digital twin
- Floor identification to track assets moving between levels
- Automatic indoor/outdoor environment detection
- Geofencing capabilities for access control and alerts
- Web portal and mobile app for visualizing location data and managing assets
- API for integrating location data with ERP, MES, SCM, and WMS systems
- Utilizes existing infrastructure (Wi-Fi, BLE, movement sensors) for rapid deployment