Innovative Cloud-Based Facial Recognition Solution for Smart Alert System
Cutting-edge facial recognition technology is leveraged in a cloud-based solution for real-time identity recognition and alert generation, enhancing security and efficiency in surveillance systems. Using edge computing and Huawei Cloud PaaS, the system detects and alerts potential threats swiftly.
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Presentation Transcript
Challenge Name: Project Name: Team Name: Organization: Email/Phone:
Project Overview Overview Project Name Team Name Contacts Technical Field Enter EI, PaaS, media, or database. Technologies Specify the key technologies you used. Keywords Applicable Fields Description (in 500 words) Describe the usage scenarios, pain points solved, and innovations of your project.
Note: The section titles listed below are for reference and you can re- sequence them as required. You can add multiple slides for each section. Contents Delete this note when submitting your presentation. Team Introduction 1 Project Introduction 2 Technical Architecture 3 Functions 4 Innovations 5 Business Value 6 Project Planning 7 Achievements 8
Team Introduction Information about your team members or yourself, such as educational background, career, innovations, and collaboration Information about your team, such as the structure, roles, and incentive system Information about external resources, such as technical consultants, strategic partners, and how related they are with your project
Project Introduction Project background, features, etc. Application scenarios, problems solved, and target users
Technical Architecture Overview Key technologies you selected and their collaboration with other functional modules Roles of the Huawei Cloud PaaS technologies you used in the project Implementation principles Solution deployment architecture diagram (including service flows) Technology maturity assessment, such as whether the technical roadmap is clear and tools are mature and reliable
Technical Architecture Example only Solution deployment architecture diagram Service Description Target alerts relies on the edge facial feature extraction algorithm and the facial recognition service on the cloud to complete identity recognition. The process is as follows: 5. Issues dispatch messages Camera Camera IOC client port 1. The video analysis service delivers the video analysis algorithm to the IEF edge video analysis node. 2. The edge video analysis node obtains video streams from the NVR or cameras. 3. The edge node extracts the facial features and passes the thumbnail to the IOC application server. 4. The application uses the thumbnail as the input and calls the FRS API to request the face match service. FRS returns the face match result to the application. 5. The application releases and displays the alert on the IOC. 6. The recognition result is written into the database for subsequent query. 4. Compare face recognition results 3. Passes face thumbnail 6. Archives data in database 1. Delivers algorithm to extract facial features 2. Imports edge video streams Video analysis service Facial feature extraction Notes (delete them when presenting the slide): Describe all deployed components/modules involved in the solution, including the integrated Huawei Cloud services. Describe the major service modules of the authentication system, dependencies between service modules, and deployment relationships between service modules and Huawei Cloud services. Describe the service processing step by step. Huawei Cloud icon library: https://www.huaweicloud.com/intl/en-us/service/icons.html #Note: You can draw the deployment architecture diagram and service flow diagram on two separate pages if they are too complex.
Functions Overview Description on the core functions, such as the highlights and advantages compared with the existing products Uniqueness in terms of functions and user experience (if you are proposing a new product type) Demonstration (use the prototype or demo videos in the country judging round and use demo videos in the region judging round)
Innovations Overview Requirement and tech prospect analysis Original innovations or technical breakthroughs, and achievements (patents, awards, industry recognition, etc.) Breakthroughs and innovations in business models, services, management and operations, marketing, and application scenarios
Business Value Expected social or business value Business model, profitability, and prospect Business opportunity identification, product or service design, technology selection, market promotion, competition and cooperation, and compliance with laws and regulations
(Optional) Verification Market and customer survey Beta test description, including the test scope, object selection, process, and summary
Project Planning Overall plan Objectives and difficulties in each phase, key points, and solutions Steps and timeline Target market volume and prospect; strategies for market development and expansion
Achievements Expected achievements
