Mingjian_Feihu Interactive Technology (Beijing) Co., Ltd

Mingjian

Combine real-time quality inspection with post-event quality inspection to improve business service quality and ensure business security, compliance and efficiency.

Through the AI recognition algorithm, it identifies and tracks face detection, voice recognition, key actions and key information in the process of business development, improves the real-time AV quality inspection capability, and reduces the pressure of manual quality inspection after the event. It is mainly used for service quality monitoring, risk monitoring and detection, service strategy optimization and other scenarios in the business service process.

Product Consulting

Core Technologies

Face recognition

Powerful face analysis technology include face in-frame detection, face occlusion detection and living body detection, and it is flexibly applied in the scenarios of financial, pan-financial industries.

Living body recognition

Based on the deep learning technology, it can effectively resist the attacks such as printing paper, electronic screen re-shooting and pictures, and provide dynamic and silent living body detection.

OCR recognition

Based on deep learning technology, it provides high-precision picture and text detection and recognition services in various general scenarios.

Card and certificate text recognition

Structured recognition is conducted for the texts of common cards and certificates such as ID cards and bank cards. It is used for identity authentication, financial account opening and other scenarios.

Action recognition

It includes signature action recognition, file presentation recognition and other functions, helping solve the demands of relevant business scenarios such as behavior recognition and behavior monitoring.

Application scenario

Quality inspection after the event

For the scenarios of service audit after the event, we import the recorded AV files into the products in batches, and use the quality inspection strategy of intelligent quality inspection to comprehensively detect the imported AV. Quality inspection policies support user-defined policy audit items and quality inspection task policy configurations based on business scenarios, improving the efficiency of detection of AV after the event.

Quality inspection after the event

Real-time quality inspection

For online and offline business scenarios, the product encapsulates the capabilities involved in all detection items, such as face detection, voice recognition, and action detection, in a unified SDK. The client can call the corresponding detection capabilities at any time to conduct real-time quality inspection of business processing and output quality inspection reports.

Real-time quality inspection