Users can now curate automated highlight reels of family events using local AI that analyzes photo libraries and camera feeds without internet dependency. This breakthrough is the cornerstone of UGREEN’s strategic pivot from a traditional manufacturer of accessories toward a provider of high-performance smart home infrastructure. By introducing the HomeAgent ecosystem, the brand is moving beyond passive hardware like chargers to create integrated Artificial Intelligence of Things systems that prioritize localized processing. This shift directly challenges the prevailing industry model, which frequently forces consumers to rely on external cloud servers for basic automation and security tasks. By building a local-first architecture, UGREEN addresses significant market concerns regarding data privacy and the ongoing costs associated with cloud subscriptions. This new direction represents a comprehensive attempt to redefine the smart home as a private, self-contained data center that functions efficiently regardless of external stability.
Advanced Local Intelligence: Security and Lifestyle Integration
The integrated artificial intelligence within the HomeAgent system effectively transforms standard security footage into an interactive and searchable database that resides entirely on the owner’s premises. Using local processing power, the platform identifies specific objects, vehicles, and entities such as family members or pets, allowing for a level of granular oversight previously reserved for commercial-grade surveillance systems. This capability facilitates “semantic searching,” where homeowners can use natural language queries to locate specific events across their entire recording history. Instead of manually scrubbing through hours of video, a user can simply request to see every instance of a delivery truck arriving or identify when a specific pet moved into a restricted area. This transition from passive recording to active data retrieval ensures that security information is immediately actionable. Because all these calculations occur on-site, the speed of retrieval is limited only by local network bandwidth.
Beyond security, the ecosystem enhances daily residential life by automatically curating memorable moments from a combination of camera feeds and digital photo libraries. These AI-generated highlights are specifically designed for display on UGREEN Gallery smart frames, which act as a physical manifestation of the digital ecosystem’s internal logic. This creates a seamless loop of data capture, intelligent analysis, and high-quality presentation that functions without ever sending personal imagery to a third-party server. The system uses contextual clues to determine which events hold emotional value, such as a child’s first steps or a family gathering, and stitches them into polished reels. This localized lifestyle integration ensures that personal memories remain entirely private while still providing the convenience of automated organization. By keeping this processing on-site, the system avoids the privacy risks inherent in standard cloud-based photo services, offering a superior and more secure visual experience.
Hardware Hierarchy: Scalable Solutions for Every Residence
To accommodate various technical requirements, UGREEN has developed a tiered hardware strategy that begins with the foundational HomeAgent HA100 unit. This device provides a robust entry point for standard households, offering 26 Tera Operations Per Second of AI performance paired with 16GB of high-speed LPDDR5 memory. The hardware is designed for reliability, featuring two dedicated NAS drive bays and a specialized NVR bay specifically for surveillance storage. Connectivity is a primary focus for this model, which includes 2.5GbE networking and Power over Ethernet capabilities to ensure that peripheral cameras remain powered through a single cable. An additional M.2 NVMe slot is included for high-speed caching, which significantly reduces the time required for the system to index new data. This combination of components makes the HA100 a versatile hub that can manage the networking and storage needs of a modern smart home while maintaining the core promise of fast, local artificial intelligence processing.
For power users that demand higher throughput, the HomeAgent HA100 Pro increases processing capability to 205 TOPS and doubles the memory to 32GB of RAM. This model utilizes 10GbE networking and PCIe 4.0 technology to handle significantly more complex AI workloads and deeper contextual understanding of household patterns. At the peak of the hardware hierarchy sits the MasterAgent MA100, which functions as a home supercomputer powered by the NVIDIA Jetson Thor T5000. Delivering over 2,000 TFLOPS of local AI computing power, this flagship device is engineered for developers and ultra-high-end residential projects where simultaneous, massive AI models are required to manage complex environments. With 128GB of shared memory and support for 8K video output, the MA100 represents the most powerful consumer-facing AIoT hub currently available. This tiered approach ensures that users can select the specific level of computational power that matches their individual infrastructure and automation needs.
Interoperability Standards: Building a Resilient Network
The primary interface for this complex ecosystem is Uliya, a proprietary voice assistant that operates entirely on the edge to maintain strict privacy standards for every household interaction. Unlike mainstream voice assistants that transmit audio fragments to the cloud for processing, Uliya handles device control, event retrieval, and the creation of custom notifications locally on the HomeAgent hardware. This design choice eliminates the latency often associated with cloud-based voice commands and ensures that the system remains functional even during an internet outage. Users can interact with Uliya to trigger complex automation rules or to query the local database for security events using natural speech. This high level of integration between the voice interface and the local AI engine allows for a more fluid and responsive smart home experience. Because the assistant resides on powerful local hardware, it can understand more nuanced commands and maintain a deeper awareness of the home’s current state.
To maximize the benefits of this local-first architecture, homeowners focused on three primary implementation strategies. First, they audited existing network hardware to ensure it could handle 2.5GbE or 10GbE speeds, often upgrading to Cat6a cabling to prevent data bottlenecks between the hub and high-resolution cameras. Second, users prioritized the integration of Matter-certified peripherals, which allowed for a unified control interface without the need for multiple proprietary bridges. Third, many chose to allocate specific storage pools for NVR duties and separate high-speed NVMe drives for AI caching, which significantly improved the responsiveness of semantic searches. By treating the smart home as a localized data center, individuals successfully moved away from the vulnerabilities of cloud-based surveillance. This proactive approach to hardware ownership and network optimization established a secure, high-performance environment that remained fully operational during external outages.
