Tailored enterprise solutions designed to accelerate digital transformation, improve operational efficiency, and support scalable business growth.
Abyss AI MY helps financial institutions modernize infrastructure, improve agility, and adapt to rapidly changing digital demands. Our solutions enable organizations to optimize operations, expand service capabilities, and deliver secure, customer-focused financial experiences.
Build highly available and scalable infrastructure capable of dynamically adjusting resources based on real-time demand. Maintain fast response times and uninterrupted service performance during peak traffic events, ensuring a seamless customer experience.
Protect critical financial systems with enterprise-grade security measures, including identity authentication, data encryption, network isolation, and intelligent threat protection.
Our architecture supports load balancing and distributed scalability to eliminate single points of failure and ensure maximum service availability.
Designed for compatibility with traditional and modern enterprise environments, our solutions provide flexible and scalable infrastructure support to simplify digital transformation and accelerate system modernization.
Leverage cloud-native technologies, containerized deployments, and automation frameworks to achieve greater scalability, faster deployment cycles, and improved operational efficiency.
With modern infrastructure and continuous delivery capabilities, financial organizations can innovate faster, reduce operational costs, and respond more effectively to market demands.
Enterprise infrastructure capabilities designed to support reliable operations, secure environments, and scalable business growth.
GPU failures can hinder project progress. Complex system dependencies mean single-node failures may cause system paralysis and potential data loss.
As clusters expand, resource demands diversify, making monitoring, maintenance, and troubleshooting increasingly challenging.
When multiple projects run simultaneously, uneven resource distribution can lead to contention and rising operational costs.
Supports diverse computing devices and schedules resources across thousands of cards. Automatically allocates and manages computing power while refining resource distribution through a unified management platform to maximize utilization efficiency.
Leveraging container technology, clusters are deployed, scaled, and maintained efficiently with consistent environments. Real-time monitoring, visual dashboards, multi-channel alerts, and robust permission management ensure security and resource use.
High-availability architecture and load balancing prevent system-wide failures from single-node issues. AI-driven operation and maintenance monitor faults, automatically isolate problems, migrate tasks, and restart nodes to minimize business disruption.
Researchers can request computing resources independently, while management teams track usage visually. Automated maintenance reduces workload, ensures system stability, and accelerates business iteration and innovation.
The smart campus portrait monitoring system is an integrated face recognition solution combining software and hardware. It features modular functions, unified data management, and a high level of intelligence. With rich capabilities, it meets diverse campus security needs.
Dynamic Facial Capture
Utilizing advanced facial recognition algorithms, the system achieves a capture rate of over 98% and matching accuracy of up to 99.9%, recognizing tens of thousands of faces per second. It automatically selects the most frontal image of each person, while optical flow and detection algorithms enable precise face tracking to avoid duplicate alarms. By deploying cameras at key entrances and exits, complete real-time monitoring of all visitors is ensured.
Performance Indicators:
Capture rate: >98% | False snapshot rate: <2%
1:1 Face Comparison
The 1:1 portrait comparison function determines whether two photos belong to the same individual. It remains highly accurate under various facial expressions (smiling, mouth open, eyes closed), lighting conditions (natural or indoor), head poses (within 20° sideways and 15° up or down), and across age differences, hairstyles, and accessories such as glasses or hats.
Performance Indicators:
For a database of 10,000 people, the false recognition rate is 0.1%, the passing rate reaches 99%, and each comparison takes less than 1 second.
Face 1:N Comparison
The 1:N face comparison identifies a user’s face within a large portrait database, performing dynamic and non-cooperative recognition. Dynamic comparison captures face data from video streams in real time, while non-cooperation allows recognition without requiring the subject to be in a specific location. This process is more challenging than static 1:1 comparison, handling issues like overexposure, backlighting, profile faces, and long-distance recognition.
Performance Indicators:
For a database of 10,000 faces, the false recognition rate is 0.1%, the passing rate reaches 99%, and each comparison takes less than 1 second.
Facial Feature Analysis
This function analyzes key facial attributes such as gender, age, and emotions. Gender and age analysis helps profile the flow of teachers and students on campus, while emotion analysis provides insights into students’ classroom engagement.
Performance Indicators:
Accuracy for gender, age, and emotion analysis exceeds 90% per image.
Supports up to seven types of intelligent terminals, designed for different scenarios to meet diverse facial recognition needs.
The portrait monitoring system offers comprehensive functions that maximize campus security and operational efficiency.
Provides unified management of personnel, equipment, and building data to ensure accuracy and consistency.
Delivers dynamic face capture, feature analysis, and both 1:1 and 1:N comparison for precise identification.
Enable manufacturing enterprises to adopt a data-driven innovation model across production and technology, promoting digital, networked, and intelligent industry transformation.
The unified distributed architecture reorganizes system resources, enabling flexible data, application, and service integration. This accelerates new business responsiveness, drives innovation, supports digital transformation, and enhances user experience.
Comprehensive service capabilities enable equipment interoperability, health management, production traceability, and process optimization, enhancing the overall level of smart manufacturing.
An integrated enterprise big data platform connects the entire production and operation data chain. It simplifies data capture, integration, analysis, and scheduling, improving overall data utilization and application efficiency.
Through open APIs, data can be securely shared, improving industrial chain collaboration and fostering a thriving, interconnected ecosystem.
Leveraging cloud-native technology, we help manufacturing enterprises implement data-driven innovation across production and technology, enabling digital, networked, and intelligent transformation of the industry.
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