Vision System Reporting Proximity
Home Case Studies Vision System Reporting Proximity
Project Scope
- Develop a vision-based application capable of detecting objects regardless of their pose or depth variations
- The AI application should be capable of detecting objects and estimating their depth, indicating their proximity to the system
ARi’s Solutions
- Designed a robust multimodal AI application capable of accurately detecting objects across varying poses and depth conditions, ensuring reliable performance in dynamic and complex visual environments
- Currently integrating the system with a robotic arm, enabling the AI vision module to detect objects based on their pose and proximity for precise interaction
- Edge AI, customized Yolo V8 model and dataset for Object detection and Depth
ARi’s Value Proposition
Initiated an AI application that integrates image detection, pose estimation, and depth sensing models to provide advanced vision capabilities to a robotic arm. This solution enables precise object interaction and supports a wide range of applications, including manufacturing plant automation and warehouse operations.
Download
Case Study
Case Studies
Related
https://www.arigs.com/wp-content/uploads/2026/08/Vision-System-Reporting-Proximity.pdf