> For the complete documentation index, see [llms.txt](https://doc.engenius.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://doc.engenius.ai/home-cloud-release-note/ai-nvs-firmware/evs1002d.md). # EVS1002D ## v1.0.15 ### \[New Feature] * Enables secure HTTPS access to the local status page for authorized users, protecting credential integrity and allowing safe, encrypted real-time system monitoring. * Enable device shutdown via the local web UI, safeguarding data integrity and preventing hardware damage for reliable, risk-free power management * Enhances network security and compliance by supporting encrypted cloud toggles, JC-star standards, LLDP identification, and resolving header anomalies to prevent router security alerts * Restores accurate network traffic reporting and expands RTSP password character compatibility, ensuring seamless virtual camera integration without risking URI-path breaking errors ### \[Issue Fix] * Fixed NVS disk-detection issue after power outage to prevent false storage loss and ensure reliable recording recovery. ## v1.0.11 ### \[New Feature] * Enables live streaming with latency functionality even when no hard drive is installed. * Upgrades the Edge AI engine to the latest model for improved detection accuracy. * Adds automatic network failover to a backup gateway if the main connection drops for 30 minutes. * Reduces unnecessary disk noise by optimizing background logging processes. ## v1.0.0 * Initial release --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation by asking a question. Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters: ``` GET https://doc.engenius.ai/home-cloud-release-note/ai-nvs-firmware/evs1002d.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.