Demands for Internet-connected home video surveillance are increasing over recent years, not only because of the availability of technology, but also because of increasing media attention given to sensationalist stories of kids falling from buildings, unknown elderly deaths, and the extremely prominent nanny arson case from Hangzhou, China, all of which may have been avoided with home video surveillance. However, traditional video surveillance cannot meet home video surveillance requirements due to the additional complex technologies, professional knowledge requirements, heavy investments, and difficult maintenance required. In addition, traditional video surveillance systems are incapable of providing the AI functionality required by modern home video surveillance, for example, the ability to detect a baby crying or an elderly person falling down. In China, the home video surveillance market is growing rapidly and users are willing to pay for these value-added services. These factors contribute to the rapid development of home video surveillance.
Standard Scenario-Specific Capability
HUAWEI CLOUD provides standard capabilities deeply optimized for home video surveillance, including human body recognition, falling detection, face comparison, sound detection, and specific voice wakeup. In addition, customized scenario-specific APIs are available to meet your special requirements.
AI Algorithm Updating
Individual AI algorithms can be downloaded from the cloud to cameras to meet various scenario requirements, such as facial recognition, human body recognition, and speech recognition. Cameras can be repurposed by simply downloading new AI modules from the cloud. This protects your interests and increases customer retention.
Transmission encryption, storage encryption, and self-service data deletion mechanisms ensure your data and privacy security. In addition, a complete cloud security system is capable of complying with the EU General Data Protection Regulation (GDPR) and ensuring that the video surveillance services launched on the cloud meet industry standards and data specifications.
Professional Systems Require Expertise
The construction, O&M, and use of traditional video surveillance systems require technical expertise that is difficult for common consumers to master. In addition, heavy investments and difficult maintenance make traditional systems unable to meet home video surveillance needs.
Dramatic Increase of Video AI Requirements
As the value of video data grows rapidly, users' demand for cost-effective video AI cannot be satisfied. The AI functionality is increasingly required by modern home video surveillance, for example, the ability to detect a baby crying, an elderly person falling down, and a theft.
Lack of External Access
Closed systems with no external access interfaces and few access channels do not fit consumers' lifestyles. Consumers often remotely view home surveillance videos, which requires multi-channel Internet access.
Privacy & Security Risks
App and Internet access is prone to information leakage. The home video surveillance systems must focus on protecting user data and transmission and meeting high-standard security and compliance requirements.
Customizes and optimizes home video surveillance based on individual requirements.
Delivers standard APIs and SDKs for interconnection with third-party services.
Offers atomic services, so customers can define the upper-layer application logic.
Supports transmission encryption, storage encryption, and self-service data deletion mechanisms to ensure data and privacy security.