AI

Artificial Intelligence Systems

To enhance the autonomy and accuracy of robotic systems, the R&D unit at Hoopad Company places special emphasis on the development of artificial intelligence and machine vision systems. These systems enable real-time analysis of live images, pattern recognition, obstacle detection, moving target tracking, and real-time decision-making in complex environmental conditions….

To enhance the autonomy and accuracy of robotic systems, the R&D unit at Hoopad Company places special emphasis on the development of artificial intelligence and machine vision systems. These systems enable real-time analysis of live images, pattern recognition, obstacle detection, moving target tracking, and real-time decision-making in complex environmental conditions.

The use of convolutional neural networks (CNN), deep learning, object detection algorithms such as YOLO and SSD, combined with sensor data integration, has enabled Hoopad’s robots to perform high-level missions effectively. These capabilities are especially applied in areas such as fire detection, border surveillance, infrastructure inspection robots, and precise mapping systems.

PORTFOLIO

Some portfolio samples Artificial Intelligence Systems

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Frequently Asked Questions

Answers to your most frequently asked questions

At Hoopad, we focus on developing intelligent systems in areas such as machine vision, flight data analysis, autonomous decision-making, pattern recognition, and reinforcement learning. These systems are used in ground and aerial robots for purposes such as environmental monitoring, fire detection, autonomous navigation, and object recognition.
Yes, we have the capability to develop and implement custom AI models tailored specifically for unique project requirements. Our research and development team can design, train, and optimize machine learning models, deep learning models, or hybrid intelligent algorithms based on the type of data, mission, and project requirements. We manage the project from algorithm design through to final deployment in the system.
We use advanced processors such as Jetson, Raspberry Pi 5, and GPU-based training servers for developing and running our algorithms. Additionally, our products provide a stable communication infrastructure and real-time processing of images and data.
Yes, our AI systems are designed for real-world use and can perform reliably in industrial, agricultural, marine, and urban environments. We incorporate environmental robustness, noise resistance, and real-time performance into our designs.
Yes, In addition to executing industrial projects, we offer specialized training courses in machine vision, machine learning, and AI algorithm implementation for students and companies. We also provide specialized consulting services in feasibility analysis and project roadmap design for AI projects.

Turn the dream of flight into an engineered reality.

At Hoopad, relying on advanced technology and technical knowledge, the path to realizing flying ideas is made possible.
We have created a professional environment for the growth, design, and development of flying systems.
Our vision is to transform creativity into precise and executable achievements.