In recent years, driven by new technologies, financial services have accelerated reform and innovation. Meanwhile, the surge in audio and video data has brought enormous pressure and challenges to quality inspection work—issues with traditional manual quality inspection methods, such as inconsistent standards, low efficiency, poor timeliness, high error rates, and high operating costs, have become increasingly prominent. In response to this trend, Brilliance Technology’s independently developed Multimodal Intelligent Analysis System integrates leading AI technology and multimodal data processing capabilities. With its comprehensive, efficient, and accurate features, it forges a "sharper eye" for financial risk prevention and control.

〡 Deep Integration of AI + Big Data + Edge Computing to Build Comprehensive, Efficient, and Accurate Intelligent Quality Inspection

In developing the Multimodal Intelligent Analysis System, Brilliance Technology adopted a series of advanced strategies and technologies covering the fields of AI, big data, and edge computing. On one hand, through technologies such as biometric identification, object detection, and behavior analysis, it can accurately verify identity authenticity, establishing the first line of defense for financial risk prevention. On the other hand, via technologies like OCR and ASR, the system can convert unstructured data into structured data, accurately recognizing multiple types of data including faces, audio, documents, ID cards, and bills—paving the way for functions such as full-scale automated quality inspection, real-time feedback, and early warning.

"Financial institutions often face dual pressures of business innovation and compliance. The introduction of a series of 'dual-recording supervision' policies requires full-process audio and video recording of links such as marketing promotion, risk disclosure, and consumer confirmation. The pressure of audio and video quality inspection is just the tip of the iceberg, with hidden huge risks," said the Product Manager of Brilliance Technology’s Multimodal Intelligent Analysis System. "Brilliance’s Multimodal Intelligent Analysis System enables automated monitoring and analysis, significantly reducing manual inspection work. At the same time, it can provide 24/7 uninterrupted intelligent monitoring, promptly detecting risk events and issuing alerts to prevent risks from turning into irreversible losses."

"Take the compliant operation of bank branches as an example. In addition to inconsistent labeling and imprecise standards, traditional manual inspection can only be conducted through random sampling—sampling time may account for less than 1% of the branch’s business hours, making it difficult to understand the real operating situation and problems. After problems are identified, the limited information from random sampling prevents the analysis of patterns to fundamentally solve them. The Multimodal Intelligent Analysis System can well address this issue. For instance, in monitoring the compliance of tellers’ operations, it can set up real-time alerts for abnormal behaviors such as dual-person seal verification and leaving the counter without locking the cash box. It replaces 90% of manual random checks, increasing compliance coverage to 100% and reducing operational risks. In terms of branch environment, it can also realize real-time monitoring of smoke, flames, and water leakage, shortening the environmental risk response time to 30 seconds and reducing the annual equipment failure rate by 40%."

"Furthermore, in aspects such as full-process supervision of cash transport vehicles, intelligent security management of vaults, and intelligent risk prevention and control of ATMs, the face recognition and behavior analysis capabilities of the Multimodal Intelligent Analysis System can play an important role. For example, we can conduct AI verification on key nodes such as the arrival time of cash transport vehicles, the identity of escort personnel, and dual-person operation for cash box handover, achieving 24/7 non-sensing supervision and increasing the efficiency of historical event tracing by 80%. For vault security management, it can monitor illegal intrusions, dual-person operation violations, and abnormal movement of items, improving management efficiency by 90% and reducing the illegal operation rate to 0.1%. In ATM areas, it monitors abnormalities such as equipment installation/dismantling, weapon possession, and long-term loitering, linking with audio-visual alarms and synchronizing with the security system to respond to risk events within 20 seconds—reducing annual card fraud cases by 60%, among other results... Truly forging a 'sharper eye' for financial risk prevention and control."

〡 Exploring Diverse Application Scenarios

Originally, ?audio-visual quality inspection? was primarily used in business processes like ?telemarketing calls?, serving as a robust support tool to ?enhance service quality?, ?ensure compliance with service personnel conduct?, and ?facilitate dispute resolution?. Building on this foundation, ?Brilliance Technology’s Multimedia Intelligent Analysis System? has undergone continuous iteration and upgrades. Today, its ?basic applications? include:

● Customer service audio monitoring

● Real-time transcription

● Textual analysis

● Extracting effective sales scripts

● Data-driven detection of marketing outcomes

Now, leveraging the system’s ?facial recognition capabilities?, we can ?identify customers’ identities and needs? the moment they enter a physical branch, enabling ?more precise personalized services? and ?intelligent in-person marketing?. For financial institutions, ?high-quality service delivery? not only ?strengthens brand professionalism? but also ?boosts customer retention? and ?attracts high-end clientele?.

In terms of application scenarios, Brilliance Technology believes that the Multimedia Intelligent Analysis System has more room for exploration in the future. For example, this product can be applied to industrial safety production to monitor personnel operation compliance and hazardous area control; it can also be applied to the medical monitoring field to detect patient falls and other abnormalities, racing against time to protect lives; in urban safety, it can assist managers in supervising emergencies such as fires and stampedes; in addition, by recognizing license plates, it can achieve real-time accident warnings, collect evidence of violations, and reduce response time and impact; through facial recognition and behavioral heatmap analysis, it can help the retail industry optimize shelf placement and improve sales through precision marketing.