Sea Box Artificial Intelligence Platform (SAI)

Sea Box Artificial Intelligence Platform (SAI) customizes intelligent applications according to the needs of artificial intelligence scenarios, helping partners to achieve professional development in various segments.

Sea box big data retrieval system

The Sea Box Big Data Retrieval System (SSI) is a high performance full-text search server. Supports face-level search, hits eye-catching display and supports multiple output formats (including XML/XSLT and JSON formats); supports configurable and extensible, can disassemble text according to configured word segmentation rules and generate corresponding indexes to improve the full text Query efficiency; support for a comprehensive feature management interface that is easy to add to web applications.

Sea box license plate recognition system

Sea Box License Plate Recognition System (SCAR) identifies vehicle brand, color and other information through license plate extraction, image preprocessing, feature extraction, license plate character recognition and other technologies, including batch identification of Chinese and English license plates, high character recognition accuracy, and batch export of license plate recognition. Results and other functional modules.

Sea box graph data analysis system

The SeaBox Data Analysis System (SGH) provides a web-based interactive framework for large-scale graph data. The data can be from GSON files, or graph databases, which can be used for graph data analysis, search, and visualization.

Sea box speech recognition system

Sea Box Speech Recognition System (SVO) uses a third-party corpus such as Baidu to convert vocabulary content in human speech into text. Currently, it can recognize Mandarin, dialect and English, including online recognition of Chinese and English voice, voice-to-text display and batch download identification. Results and other functional modules.

Sea box real-time intelligent analysis system

Sea Box Real-Time Intelligent Analysis System (SRT) is a streaming processing platform for real-time big data project implementers. It is dedicated to unifying and simplifying big data development and management, especially for typical streaming real-time/quasi-real-time data processing applications. The underlying technical details provide a very low development threshold. Project implementers can support most business scenarios by simply configuring and writing SQL, making the development and management of big data business systems more lightweight, controllable and reliable.

Sea box machine learning model system

Sea box machine learning model system (SHO) is a unified platform for machine learning and data mining. It supports the deep mining of massive data through integration with big data platform applications. A high-performance statistical algorithm library with statistical library parallelization, which can be used to denoise data, remove default/abnormal values, normalization, statistical distribution and other analysis operations. Integrate quick references to multiple algorithms, such as classification, clustering, correlation, Bayesian, collaborative filtering algorithms, and more. Through the integration with big data platform applications, the entire data processing flow of page data integration, data cleaning, data modeling, data analysis, and data mining is realized.

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