The application of underwater cameras in AI
Yingdige: Promoting the Upgrade of Underwater Visual Intelligence and Industrial Transformation
In the field of underwater intelligent technology, the upgrade of visual intelligence and industrial transformation has become a core trend. Yingdige, with its core technological advantages, focuses on empowering the entire industrial chain of underwater intelligent equipment, intelligent monitoring, and intelligent analysis, relying on self-developed core technologies to realize a leap in underwater intelligent applications and drive industrial transformation and upgrading.
Core Positioning
With self-developed AI chips and algorithms as the core, Yingdige is committed to realizing a leap from "passive collection" to "active perception" in underwater imaging. Our core goal is to empower the entire industrial chain of underwater intelligent equipment, intelligent monitoring, and intelligent analysis, promoting the upgrade of underwater visual intelligence and industrial transformation, and providing strong technical support for the intelligent development of the marine industry.
Typical Application Scenarios
Yingdige’s solutions cover a variety of underwater AI visual application scenarios, providing targeted technical support for different industries and meeting the diverse needs of intelligent operation. The specific application scenarios are as follows:
1. Visual Empowerment for Underwater Robots (ROV/AUV)
We provide AI visual perception core modules for underwater unmanned vehicles (ROVs) and autonomous underwater vehicles (AUVs). These modules enable the robots to achieve core intelligent functions such as autonomous obstacle avoidance, path planning, and target tracking. By integrating advanced AI algorithms, the robots can independently complete tasks in complex underwater environments, significantly improving the intelligence level and operational efficiency of unmanned equipment, and reducing manual intervention costs.
2. Intelligent Underwater Defect Detection
This scenario is widely applied in marine engineering, energy facilities, industrial equipment and other fields. Through self-developed AI algorithms, our solutions can automatically identify defects such as cracks, corrosion, leakage, and biological adhesion of underwater structures. It can accurately locate the position of defects, assess defect levels, and replace traditional manual underwater inspection methods—greatly reducing detection costs while improving the accuracy and efficiency of defect detection.
3. Intelligent Underwater Target Recognition
Serving multiple fields including underwater security, marine scientific research, and operation and maintenance, our solutions use professional AI models to realize automatic classification and recognition of underwater targets. This includes fish, sunken ships, underwater pipelines, and suspicious intrusion targets. It supports real-time early warning and data reporting, providing a quick and accurate visual basis for subsequent decision-making and disposal.
4. Multimodal Data Fusion Analysis
We integrate underwater camera imaging data with multi-source data such as sonar, laser, and water quality monitoring. Through AI algorithm processing, we realize underwater 3D reconstruction, precise measurement, and comprehensive environmental analysis. This scenario is widely used in deep-sea exploration, marine engineering planning, and underwater facility assessment, providing comprehensive and accurate data support for related work.
5. Edge Intelligent Computing
Equipped with self-developed edge AI computing power modules, our solutions realize real-time processing and analysis of front-end data, reducing the pressure of data transmission bandwidth. It is suitable for remote monitoring, field operations and other scenarios where network conditions are unstable. At the same time, we provide open SDK and development toolkits, supporting customers to carry out secondary algorithm development and customize functions according to their own industry needs, so as to adapt to various personalized intelligent application scenarios.
Product Adaptability
Yingdige’s underwater visual intelligence solutions are equipped with self-developed HiSilicon AI visual chips, which support deep learning inference and rapid algorithm iteration, ensuring the timeliness and accuracy of AI analysis. The self-developed core algorithms include underwater image denoising, distortion correction, target segmentation, and intelligent measurement, which can effectively solve the problems of poor underwater imaging and low recognition accuracy.
The product has the characteristics of high computing power, low power consumption, and strong anti-interference ability, which can operate stably in complex underwater environments (such as high pressure, low light, and strong interference), ensuring the continuous and reliable operation of equipment. In addition, we provide a complete set of SDK and development toolkits, which are compatible with mainstream AI frameworks, supporting customers to quickly deploy algorithms and customize functions, meeting the diverse AI visual application needs of different industries.
Note: This article is for informational purposes only and does not constitute any binding commitment. The performance, parameters and other related information of the product are subject to the actual production and application conditions. For detailed patent information and product customization, please contact our team.
Tags: Yingdige, underwater visual intelligence, industrial transformation, AI chips, underwater robots (ROV/AUV), underwater defect detection, target recognition, multimodal data fusion, edge intelligent computing, HiSilicon AI chip