In modern society, the application of face recognition is also becoming more and more extensive. For example, in our life, face recognition clock in, conference registration signature, railway station import and export, etc. It can be seen that face recognition has gradually been integrated into our life, and we often have Huawei Cloud and other enterprises. What is Huawei Cloud's face recognition privatization deployment package and what is its use? Neutrino network Today I will answer for you. I hope it can help you.
Huawei Cloud has a pure software face recognition model service that can be deployed to local servers. It provides basic functions such as face detection, face comparison, face search, and live detection. It supports a mega face database and can achieve millisecond response.
The face recognition privatization deployment scheme is divided into two model packages: the general version and the security version. The general version model is mainly applicable to the access gate and other traffic scenes. The security version model is specially optimized for the large angle squint angle of the surveillance camera. It supports two deployment modes: local server and proprietary cloud server. The concurrent performance of a single graphics card can reach up to 80 QPS. It can be selected flexibly according to actual business scenarios.
Features and advantages of face recognition privatization deployment package
1. Leading recognition effect
It supports the management and search of millions of face databases, millisecond response, and the accuracy of face comparison in LFW evaluation is up to 99.77%, leading the industry in retrieval speed
2. High performance support
On RTX series graphics cards, the single card concurrent performance can reach 80 QPS, with higher cost performance, more hardware cost savings, and flexible selection based on demand scenarios and demand levels
3. Millisecond response
High concurrency, high throughput, low latency, and millisecond level recognition can also be realized in the mega face database
4. Adapt to a variety of hardware
The face recognition model can be deployed on the GPU and CPU. The GPU supports the mainstream P4/GTX series, T4, and RTX series graphics cards, and the CPU supports versions with performance above 2.3 GHz
5. Convenient deployment
One click deployment to local physical machine, local virtual machine, and virtual machine server, and service deployment can be completed in half an hour at the earliest; Provide common operation and maintenance tools, and operate and maintain with low cost and high efficiency
6. Data security
Deploy applications in the VPC environment, store and process data in the LAN, without uploading third-party servers or clouds, to ensure the privacy and security of enterprise core production data
Recommendation of face recognition privatization deployment package
1. Intelligent video monitoring development platform
One stop video monitoring system configuration platform, preset rich AI skill models, zero development threshold, and quickly build a multi-channel video intelligent monitoring system
2. Offline face recognition SDK
Provide localized face collection, live detection, face comparison and recognition capabilities on the device side, which can be used offline in a non network environment
3. Human body analysis privatization deployment package
The human body recognition model package that can be deployed to the local server supports human body detection, attribute recognition, key point positioning, traffic statistics, gesture recognition, portrait segmentation and other functions
4. Face real name authentication
Provide multiple combination capabilities such as face comparison, live detection, ID card recognition, etc., quickly complete user identity verification, reduce the cost of enterprise manual audit, and improve user experience
5. Face capture machine - phase finding
Huawei self-developed face capture machine, a cost-effective face recognition scheme combining end cloud; Lens can be replaced, and each set is only sold for 1100 yuan
6. Face recognition development kit - gecko
Software and hardware integration kit, RK 3288, near-infrared binocular lens, integrated Huawei offline face SDK, software and hardware effect optimization, the whole process takes 300ms
Application scenario of face recognition privatization deployment package
1. Security monitoring
Real time monitoring of crowded places such as factories, schools, shopping malls and stations, automatic identification and tracking of crowds, marking of behaviors and areas with potential safety hazards, timely warning and reminding, strengthening information security management, and reducing the cost of manual supervision
2. Face brushing access
Integrate the face recognition function into the gate, access control and other hardware devices, quickly input face information, and create a safe and reliable face database. Users can swipe their faces and pass quickly and imperceptibly to solve problems such as forgetting to bring their work cards and swiping illegally, which can be widely used in enterprises, parks, residences, rail transit and other scenes
3. Government services
In the government hall, public hospitals and other administrative institutions, swipe the face to replace physical cards such as citizen cards and medical cards, quickly pick up the number to handle business, truly realize card free operation, improve business handling efficiency and reduce labor costs
4. Member identification
Low cost realization of store card free customer group management, automatic identification of membership, analysis of potential customer groups, statistics of store passenger flow, help the store improve operational efficiency, and provide customers with personalized, high-quality shopping experience
The above is the question of what the Huawei Cloud's face recognition privatization deployment package is and what it is used for. I hope it can help you. Huawei Cloud, a micro network agent, is an excellent cloud computing service provider. It can provide the best service for friends who want to rent Huawei VM to open their own online business. It has perfect industry solutions and excellent cloud computing technology. The self-developed pure SSD architecture virtual machine breaks the industry record with 50000 IOPS random read/write speed and 800 Mb/s throughput as performance indicators. The ECS elastic virtual machine uses pure SSD architecture hardware devices. It can easily acquire and enable the cloud in just a few minutes to meet your computing needs. Expanding the flexibility of resource use also saves you computing costs, simplifies IT operations, and enables you to pay more attention to core business innovation.
Huawei ECS: hopechilam.com
