{"id":3635,"date":"2026-07-23T08:41:08","date_gmt":"2026-07-23T08:41:08","guid":{"rendered":"https:\/\/uschinadrone.com\/?post_type=product&#038;p=3635"},"modified":"2026-07-23T08:41:08","modified_gmt":"2026-07-23T08:41:08","slug":"nepi-by-numurus","status":"publish","type":"product","link":"https:\/\/uschinadrone.com\/zh\/product\/nepi-by-numurus\/","title":{"rendered":"Numurus \u63a8\u51fa\u7684 NEPI"},"content":{"rendered":"<div class=\"vc_row wpb_row vc_row-fluid\">\n<div class=\"wpb_column vc_column_container vc_col-sm-12\">\n<div class=\"vc_column-inner\">\n<div class=\"wpb_wrapper\">\n<div class=\"wpb_text_column wpb_content_element\">\n<div class=\"wpb_wrapper\">\n<p><strong>NEPI by Numurus is an advanced source-available software platform that accelerates the development of edge AI systems across a broad spectrum of applications, including drones and robotics, defense, science and research, industrial automation, and education.<\/strong><\/p>\n<p>Before Windows, only computer scientists could use computers. Windows changed this by providing an interface, built-in apps, and hardware that just worked \u2013 allowing everyone, not just computer scientists, to use computers. NEPI does the same for smart systems.<\/p>\n<p>The hardware-agnostic solution enables teams to integrate sensors and hardware, run AI algorithms and models on edge computing devices. and automate workflows \u2013 without needing to build a stack from scratch.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"vc_row wpb_row vc_row-fluid\">\n<div class=\"wpb_column vc_column_container vc_col-sm-12\">\n<div class=\"vc_column-inner\">\n<div class=\"wpb_wrapper\">\n<div class=\"wpb_text_column wpb_content_element\">\n<div class=\"wpb_wrapper\">\n<h2>NEPI by Numurus \u2013 The software platform for edge AI<\/h2>\n<h4>Connect sensors, deploy AI models, and automate smart systems. Prototype in days, without building the infrastructure from scratch.<\/h4>\n<\/div>\n<\/div>\n<div class=\"wpb_video_widget wpb_content_element vc_clearfix   vc_video-aspect-ratio-169 vc_video-el-width-100 vc_video-align-left\">\n<div class=\"wpb_wrapper\">\n<div class=\"wpb_video_wrapper\"><iframe id=\"widget2\" title=\"NEPI Edge AI and Automation\" src=\"https:\/\/www.youtube.com\/embed\/CKsSrona7Uc?feature=oembed&amp;enablejsapi=1&amp;origin=https:\/\/www.unmannedsystemstechnology.com\" width=\"500\" height=\"281\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\" data-lf-form-tracking-inspected-xbp1oaed1rr4edvj=\"true\" data-lf-yt-playback-inspected-xbp1oaed1rr4edvj=\"true\" data-lf-vimeo-playback-inspected-xbp1oaed1rr4edvj=\"true\" data-gtm-yt-inspected-8=\"true\" data-mce-fragment=\"1\"><\/iframe><\/div>\n<\/div>\n<\/div>\n<div class=\"wpb_text_column wpb_content_element\">\n<div class=\"wpb_wrapper\">\n<h3>What problem does NEPI solve?<\/h3>\n<\/div>\n<\/div>\n<div class=\"wpb_text_column wpb_content_element\">\n<div class=\"wpb_wrapper\">\n<p>Most development teams building smart systems spend a significant amount of time building infrastructure that is not part of their end product. All this \u2013 which may include hardware drivers, AI pipelines, data collection logic, automation layers, control interfaces, and more \u2013 may take up to six months to a year of valuable development time before they even get started on their product.<\/p>\n<p>Without NEPI, engineers face a number of major challenges:<\/p>\n<ul>\n<li>Months of engineering lost to low-level integration before touching the real application<\/li>\n<li>Fragmented AI tooling and brittle data pipelines<\/li>\n<li>Sensor integration rewritten every time the hardware changes<\/li>\n<li>No reliable way to run AI in the field where cloud connectivity is limited or absent<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<div class=\"wpb_text_column wpb_content_element\">\n<div class=\"wpb_wrapper\">\n<p>NEPI addresses these issues by providing approximately 90% of what most smart systems need out of the box: hardware abstraction drivers, AI model management, event-driven automation, data collection, and a browser-based UI. Teams can customize the remaining 10% for their specific application using their own AI models and low-code automation. The result is that a field-ready prototype can be created in days to weeks instead of months.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"vc_row wpb_row vc_row-fluid\">\n<div class=\"wpb_column vc_column_container vc_col-sm-12\">\n<div class=\"vc_column-inner\">\n<div class=\"wpb_wrapper\">\n<div class=\"wpb_text_column wpb_content_element\">\n<div class=\"wpb_wrapper\">\n<h3>How NEPI works<\/h3>\n<\/div>\n<\/div>\n<div class=\"wpb_video_widget wpb_content_element vc_clearfix   vc_video-aspect-ratio-169 vc_video-el-width-100 vc_video-align-left\">\n<div class=\"wpb_wrapper\">\n<div class=\"wpb_video_wrapper\"><iframe id=\"widget4\" title=\"AI Drone Automation Solution Example from Numurus\" src=\"https:\/\/www.youtube.com\/embed\/1vq_JZ3Oiho?feature=oembed&amp;enablejsapi=1&amp;origin=https:\/\/www.unmannedsystemstechnology.com\" width=\"500\" height=\"281\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\" data-lf-form-tracking-inspected-xbp1oaed1rr4edvj=\"true\" data-lf-yt-playback-inspected-xbp1oaed1rr4edvj=\"true\" data-lf-vimeo-playback-inspected-xbp1oaed1rr4edvj=\"true\" data-gtm-yt-inspected-8=\"true\" data-mce-fragment=\"1\"><\/iframe><\/div>\n<\/div>\n<\/div>\n<div class=\"wpb_text_column wpb_content_element\">\n<div class=\"wpb_wrapper\">\n<p><a href=\"https:\/\/nepi.com\/?utm_source=unmannedsystemstechnology.com&amp;utm_medium=referral\" target=\"_blank\" rel=\"noopener noreferrer\" data-target-domain=\"nepi.com\/\" data-df-outbound=\"1\">NEPI<\/a>\u00a0is built on the widely-used ROS and ROS2, with low-code scripting that allows users to easily build and customize the remaining functionality required for their unique applications. The system runs fully at the edge, requiring no connectivity or cloud computing.<\/p>\n<p>Thanks to its hardware-agnostic design, the platform handles the infrastructure layer the same way regardless of sensors, payloads or applications, allowing developers and OEMs in a diverse range of sectors to use and benefit from the same core tools.<\/p>\n<p>NEPI consists of three tightly-integrated components:<\/p>\n<ul>\n<li><strong>Hardware Abstraction Drivers<\/strong>\u00a0\u2013 an ever-expanding library of drivers provides abstraction of each device\u2019s native interface to a NEPI standard SDK. This allows developers to change and upgrade hardware such as sensors and GPS receivers without needing to rewrite application code.<\/li>\n<li><strong>AI Model Management \u2013<\/strong>\u00a0NEPI also abstracts AI models\u2019 native framework interfaces to a standard SDK, providing a drag-and-drop interface that enables users to deploy, swap and update without affecting the rest of the system.<\/li>\n<li><strong>Event-Driven Automation &amp; Data Collection<\/strong>\u00a0\u2013 low-code scripting allows users to quickly and easily define triggers, conditions, and actions for seamless automation. Sensor states, AI detections, and time-based triggers are integrated into structured and reliable data pipelines that work under demanding real-world conditions.<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<div class=\"wpb_text_column wpb_content_element\">\n<div class=\"wpb_wrapper\">\n<p><a href=\"https:\/\/nepi.com\/?utm_source=unmannedsystemstechnology.com&amp;utm_medium=referral\" target=\"_blank\" rel=\"noopener noreferrer\" data-target-domain=\"nepi.com\/\" data-df-outbound=\"1\"><picture><source srcset=\"https:\/\/www.unmannedsystemstechnology.com\/wp-content\/uploads\/2026\/04\/NEPI-applications.webp 1000w, https:\/\/www.unmannedsystemstechnology.com\/wp-content\/uploads\/2026\/04\/NEPI-applications-300x125.png 300w, https:\/\/www.unmannedsystemstechnology.com\/wp-content\/uploads\/2026\/04\/NEPI-applications-768x319.png 768w, https:\/\/www.unmannedsystemstechnology.com\/wp-content\/uploads\/2026\/04\/NEPI-applications-190x79.png 190w\" type=\"image\/webp\" sizes=\"(max-width: 1000px) 100vw, 1000px\" \/><img fetchpriority=\"high\" decoding=\"async\" class=\"aligncenter wp-image-201363 size-full sp-no-webp\" src=\"https:\/\/www.unmannedsystemstechnology.com\/wp-content\/uploads\/2026\/04\/NEPI-applications.png\" sizes=\"(max-width: 1000px) 100vw, 1000px\" srcset=\"https:\/\/www.unmannedsystemstechnology.com\/wp-content\/uploads\/2026\/04\/NEPI-applications.png 1000w, https:\/\/www.unmannedsystemstechnology.com\/wp-content\/uploads\/2026\/04\/NEPI-applications-300x125.png 300w, https:\/\/www.unmannedsystemstechnology.com\/wp-content\/uploads\/2026\/04\/NEPI-applications-768x319.png 768w, https:\/\/www.unmannedsystemstechnology.com\/wp-content\/uploads\/2026\/04\/NEPI-applications-190x79.png 190w\" alt=\"NEPI applications\" width=\"1000\" height=\"416\" \/><\/picture><\/a><\/p>\n<p>An intuitive UI enables you to configure, monitor and control your entire system from any browser, and provides dashboards for at-a glance system status, sensor feeds, AI outputs, and data management.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"vc_row wpb_row vc_row-fluid\">\n<div class=\"wpb_column vc_column_container vc_col-sm-12\">\n<div class=\"vc_column-inner\">\n<div class=\"wpb_wrapper\">\n<div class=\"wpb_text_column wpb_content_element\">\n<div class=\"wpb_wrapper\">\n<h3>Why do engineers, OEMs, and integrators choose NEPI?<\/h3>\n<\/div>\n<\/div>\n<div class=\"wpb_text_column wpb_content_element\">\n<div class=\"wpb_wrapper\">\n<p>NEPI offers a wide range of advantages that provide enhanced benefits to developers, OEMs and system integrators compared to other approaches:<\/p>\n<ul>\n<li><strong>vs. building from scratch:<\/strong>\u00a0NEPI provides a production-ready integration layer that enables teams to skip months of foundation work.<\/li>\n<li><strong>vs. AWS Greengrass and Azure IoT Edge:<\/strong>\u00a0these solutions are cloud-dependent and built for enterprise IT fleets, not field robotics. NEPI runs fully at the edge with no cloud dependency.<\/li>\n<li><strong>vs. raw ROS and ROS 2:<\/strong>\u00a0ROS gives you communication infrastructure but no AI model management, no hardware abstraction, no out-of-the-box automation or data collection. NEPI adds those layers on top.<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<div class=\"wpb_text_column wpb_content_element\">\n<div class=\"wpb_wrapper\">\n<p>Other standout advantages include:<\/p>\n<ul>\n<li>NEPI is built on ROS and ROS 2, so teams already in that ecosystem can adopt the solution without abandoning their existing code.<\/li>\n<li>NEPI has been proven beyond the laboratory, with a wide variety of real-world field deployments in extremely harsh environments including the open ocean, deep sea, and on board heavy-duty robotic vehicle platforms.<\/li>\n<li>The solution is hardware-agnostic, enabling investment in software development to survive hardware changes.<\/li>\n<li>Building supporting architecture for smart systems typically takes 2 to 4 engineers six months to over a year. NEPI removes this phase entirely.<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"vc_row wpb_row vc_row-fluid\">\n<div class=\"wpb_column vc_column_container vc_col-sm-12\">\n<div class=\"vc_column-inner\">\n<div class=\"wpb_wrapper\">\n<div class=\"wpb_text_column wpb_content_element\">\n<div class=\"wpb_wrapper\">\n<h3>Advanced edge AI &amp; real-time processing<\/h3>\n<\/div>\n<\/div>\n<div class=\"wpb_text_column wpb_content_element\">\n<div class=\"wpb_wrapper\">\n<p>NEPI runs fully offline once installed, enabling all AI inference, automation, and data collection to take place on-device. An internet connection is only required for updates or optional remote dashboard access.<\/p>\n<p>The system is AI model-agnostic, allowing you to load your own trained models or use built-in detection frameworks. Supported formats include Darknet\/YOLO, TensorRT, ONNX, and PyTorch. NEPI manages loading, inference, output routing, and triggering automation from detection results.<\/p>\n<p><a href=\"https:\/\/nepi.com\/?utm_source=unmannedsystemstechnology.com&amp;utm_medium=referral\" target=\"_blank\" rel=\"noopener noreferrer\" data-target-domain=\"nepi.com\/\" data-df-outbound=\"1\"><picture><source srcset=\"https:\/\/www.unmannedsystemstechnology.com\/wp-content\/uploads\/2026\/04\/NEPI-User-Interface.webp 941w, https:\/\/www.unmannedsystemstechnology.com\/wp-content\/uploads\/2026\/04\/NEPI-User-Interface-300x187.png 300w, https:\/\/www.unmannedsystemstechnology.com\/wp-content\/uploads\/2026\/04\/NEPI-User-Interface-768x480.png 768w, https:\/\/www.unmannedsystemstechnology.com\/wp-content\/uploads\/2026\/04\/NEPI-User-Interface-190x119.png 190w\" type=\"image\/webp\" sizes=\"auto, (max-width: 941px) 100vw, 941px\" \/><img decoding=\"async\" class=\"aligncenter wp-image-201362 size-full sp-no-webp\" src=\"https:\/\/www.unmannedsystemstechnology.com\/wp-content\/uploads\/2026\/04\/NEPI-User-Interface.png\" sizes=\"auto, (max-width: 941px) 100vw, 941px\" srcset=\"https:\/\/www.unmannedsystemstechnology.com\/wp-content\/uploads\/2026\/04\/NEPI-User-Interface.png 941w, https:\/\/www.unmannedsystemstechnology.com\/wp-content\/uploads\/2026\/04\/NEPI-User-Interface-300x187.png 300w, https:\/\/www.unmannedsystemstechnology.com\/wp-content\/uploads\/2026\/04\/NEPI-User-Interface-768x480.png 768w, https:\/\/www.unmannedsystemstechnology.com\/wp-content\/uploads\/2026\/04\/NEPI-User-Interface-190x119.png 190w\" alt=\"NEPI User Interface\" width=\"941\" height=\"588\" \/><\/picture><\/a><\/p>\n<p>NEPI\u2019s hardware abstraction and data management layer makes fusion across heterogeneous sensors practical without writing custom integration code for each combination. AI outputs drive event-driven automation directly on the device.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"vc_row wpb_row vc_row-fluid\">\n<div class=\"wpb_column vc_column_container vc_col-sm-12\">\n<div class=\"vc_column-inner\">\n<div class=\"wpb_wrapper\">\n<div class=\"wpb_text_column wpb_content_element\">\n<div class=\"wpb_wrapper\">\n<h3>Versatile hardware compatibility &amp; licensing<\/h3>\n<\/div>\n<\/div>\n<div class=\"wpb_text_column wpb_content_element\">\n<div class=\"wpb_wrapper\">\n<p>NVIDIA Jetson is the primary validated compute family for NEPI, with compatible models including Nano, Xavier NX, Orin Nano, Orin NX, and AGX Orin. NEPI can also run on x86 systems, with a\u00a0<a href=\"https:\/\/nepi.com\/container\/?utm_source=unmannedsystemstechnology.com&amp;utm_medium=referral\" target=\"_blank\" rel=\"noopener noreferrer\" data-target-domain=\"nepi.com\/container\" data-df-outbound=\"1\">Docker container<\/a>\u00a0that can be installed on any standard Linux laptop or desktop with no dedicated edge hardware required. NEPI\u2019s abstraction layer sits between the physical hardware and the application, meaning that when you swap a camera or sensor and only the driver changes, not your application code.<\/p>\n<p>Numurus also sells edge hardware with NEPI pre-installed for teams that want a ready-to-deploy system. All deployment options support a wide variety of sensors and payloads, including 2D and 3D imaging cameras, lidar, sonar, GPS and INS, IMUs, pan-tilt actuators, lights and strobes, and robotic control systems.<\/p>\n<p><a href=\"https:\/\/nepi.com\/github\/?utm_source=unmannedsystemstechnology.com&amp;utm_medium=referral\" target=\"_blank\" rel=\"noopener noreferrer\" data-target-domain=\"nepi.com\/github\" data-df-outbound=\"1\">NEPI\u2019s full source codebase<\/a>\u00a0is available on Github. Software licensing and support plans are available in a number of tiers \u2013 a free option for evaluation and education, and paid Professional and Enterprise tiers with commercial support and services. Numerus also offers professional development services to build custom application layers for teams that want a fully turnkey solution.<\/p>\n<\/div>\n<\/div>\n<div class=\"vc_empty_space\"><\/div>\n<div class=\"vc_separator wpb_content_element vc_separator_align_center vc_sep_width_100 vc_sep_pos_align_center vc_separator_no_text vc_sep_color_grey wpb_content_element  wpb_content_element\"><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"vc_row wpb_row vc_row-fluid\">\n<div class=\"wpb_column vc_column_container vc_col-sm-12\">\n<div class=\"vc_column-inner\">\n<div class=\"wpb_wrapper\">\n<div class=\"wpb_text_column wpb_content_element\">\n<div class=\"wpb_wrapper\">\n<h2>Applications for Unmanned Systems<\/h2>\n<p>NEPI has been proven in real-world autonomy and unmanned system deployments in the air, at sea and on land. No matter the domain, NEPI provides the sensor integration, AI deployment, and automation layer, freeing your team to create the mission logic and AI models.<\/p>\n<\/div>\n<\/div>\n<div class=\"vc_empty_space\"><\/div>\n<div class=\"vc_row wpb_row vc_inner vc_row-fluid vc_custom_1777298808969 vc_row-has-fill vc_row-o-content-middle vc_row-flex\">\n<div class=\"wpb_column vc_column_container vc_col-sm-12\">\n<div class=\"vc_column-inner\">\n<div class=\"wpb_wrapper\">\n<div class=\"wpb_text_column wpb_content_element\">\n<div class=\"wpb_wrapper\">\n<p><a href=\"https:\/\/nepi.com\/case-studies-ocean-aero\/?utm_source=unmannedsystemstechnology.com&amp;utm_medium=referral\" target=\"_blank\" rel=\"noopener noreferrer\" data-target-domain=\"nepi.com\/case-studies-ocean-aero\" data-df-outbound=\"1\"><picture><source srcset=\"https:\/\/www.unmannedsystemstechnology.com\/wp-content\/uploads\/2026\/04\/Numurus_Case-Study_OceanAero.webp 900w, https:\/\/www.unmannedsystemstechnology.com\/wp-content\/uploads\/2026\/04\/Numurus_Case-Study_OceanAero-300x157.jpg 300w, https:\/\/www.unmannedsystemstechnology.com\/wp-content\/uploads\/2026\/04\/Numurus_Case-Study_OceanAero-768x403.jpg 768w, https:\/\/www.unmannedsystemstechnology.com\/wp-content\/uploads\/2026\/04\/Numurus_Case-Study_OceanAero-190x100.jpg 190w\" type=\"image\/webp\" sizes=\"auto, (max-width: 900px) 100vw, 900px\" \/><img decoding=\"async\" class=\"aligncenter wp-image-201365 size-full sp-no-webp\" src=\"https:\/\/www.unmannedsystemstechnology.com\/wp-content\/uploads\/2026\/04\/Numurus_Case-Study_OceanAero.jpg\" sizes=\"auto, (max-width: 900px) 100vw, 900px\" srcset=\"https:\/\/www.unmannedsystemstechnology.com\/wp-content\/uploads\/2026\/04\/Numurus_Case-Study_OceanAero.jpg 900w, https:\/\/www.unmannedsystemstechnology.com\/wp-content\/uploads\/2026\/04\/Numurus_Case-Study_OceanAero-300x157.jpg 300w, https:\/\/www.unmannedsystemstechnology.com\/wp-content\/uploads\/2026\/04\/Numurus_Case-Study_OceanAero-768x403.jpg 768w, https:\/\/www.unmannedsystemstechnology.com\/wp-content\/uploads\/2026\/04\/Numurus_Case-Study_OceanAero-190x100.jpg 190w\" alt=\"NEPI for AI-enabled 360-Degree Maritime Threat Detection\" width=\"900\" height=\"472\" \/><\/picture><\/a><\/p>\n<\/div>\n<\/div>\n<div class=\"wpb_text_column wpb_content_element\">\n<div class=\"wpb_wrapper\">\n<h3>USVs<\/h3>\n<p>NEPI was utilized by Ocean Aero to equip their TRITON ASVs (autonomous surface vehicles) with 360-degree automated maritime threat detection, with five directional cameras running onboard AI.\u00a0 NEPI cycles the cameras through AI models, calculates range and bearing on a target, stops the vessel to collect high-res data, and streams results to remote operations in real time.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"vc_empty_space\"><\/div>\n<div class=\"vc_row wpb_row vc_inner vc_row-fluid vc_custom_1777298829855 vc_row-has-fill vc_row-o-content-middle vc_row-flex\">\n<div class=\"wpb_column vc_column_container vc_col-sm-12\">\n<div class=\"vc_column-inner\">\n<div class=\"wpb_wrapper\">\n<div class=\"wpb_text_column wpb_content_element\">\n<div class=\"wpb_wrapper\">\n<p><a href=\"https:\/\/www.nepi.com\/case-studies\/videoray\/?utm_source=unmannedsystemstechnology.com&amp;utm_medium=referral\" target=\"_blank\" rel=\"noopener noreferrer\" data-target-domain=\"www.nepi.com\/case-studies\/videoray\" data-df-outbound=\"1\"><picture><source srcset=\"https:\/\/www.unmannedsystemstechnology.com\/wp-content\/uploads\/2026\/04\/Numurus_Case-Study_VideoRay.webp 900w, https:\/\/www.unmannedsystemstechnology.com\/wp-content\/uploads\/2026\/04\/Numurus_Case-Study_VideoRay-300x158.jpg 300w, https:\/\/www.unmannedsystemstechnology.com\/wp-content\/uploads\/2026\/04\/Numurus_Case-Study_VideoRay-768x404.jpg 768w, https:\/\/www.unmannedsystemstechnology.com\/wp-content\/uploads\/2026\/04\/Numurus_Case-Study_VideoRay-190x100.jpg 190w\" type=\"image\/webp\" sizes=\"auto, (max-width: 900px) 100vw, 900px\" \/><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-201366 size-full sp-no-webp\" src=\"https:\/\/www.unmannedsystemstechnology.com\/wp-content\/uploads\/2026\/04\/Numurus_Case-Study_VideoRay.jpg\" sizes=\"auto, (max-width: 900px) 100vw, 900px\" srcset=\"https:\/\/www.unmannedsystemstechnology.com\/wp-content\/uploads\/2026\/04\/Numurus_Case-Study_VideoRay.jpg 900w, https:\/\/www.unmannedsystemstechnology.com\/wp-content\/uploads\/2026\/04\/Numurus_Case-Study_VideoRay-300x158.jpg 300w, https:\/\/www.unmannedsystemstechnology.com\/wp-content\/uploads\/2026\/04\/Numurus_Case-Study_VideoRay-768x404.jpg 768w, https:\/\/www.unmannedsystemstechnology.com\/wp-content\/uploads\/2026\/04\/Numurus_Case-Study_VideoRay-190x100.jpg 190w\" alt=\"ROV Automated Inspection for Marine Incident Response\" width=\"900\" height=\"473\" \/><\/picture><\/a><\/p>\n<\/div>\n<\/div>\n<div class=\"wpb_text_column wpb_content_element\">\n<div class=\"wpb_wrapper\">\n<h3>\u9065\u63a7\u6f5c\u6c34\u5668<\/h3>\n<p>VideoRay added AI-driven inspection automation to their Mission Specialist Defender ROV control system, using NEPI in conjunction with SeeByte AI detection models. The onboard AI detects and identifies targets such as lost cargo containers, auto-collects high-res 3D data, and distributes it to remote engineering teams worldwide in real time.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"vc_empty_space\"><\/div>\n<div class=\"vc_row wpb_row vc_inner vc_row-fluid vc_custom_1777298785296 vc_row-has-fill vc_row-o-content-middle vc_row-flex\">\n<div class=\"wpb_column vc_column_container vc_col-sm-12\">\n<div class=\"vc_column-inner\">\n<div class=\"wpb_wrapper\">\n<div class=\"wpb_text_column wpb_content_element\">\n<div class=\"wpb_wrapper\">\n<p><a href=\"https:\/\/www.nepi.com\/case-studies\/lane-community-college\/?utm_source=unmannedsystemstechnology.com&amp;utm_medium=referral\" target=\"_blank\" rel=\"noopener noreferrer\" data-target-domain=\"www.nepi.com\/case-studies\/lane-community-college\" data-df-outbound=\"1\"><picture><source srcset=\"https:\/\/www.unmannedsystemstechnology.com\/wp-content\/uploads\/2026\/05\/NEPI-by-Numurus-AI-Based-Automation-for-SAR-Drones.webp 900w, https:\/\/www.unmannedsystemstechnology.com\/wp-content\/uploads\/2026\/05\/NEPI-by-Numurus-AI-Based-Automation-for-SAR-Drones-300x158.jpg 300w, https:\/\/www.unmannedsystemstechnology.com\/wp-content\/uploads\/2026\/05\/NEPI-by-Numurus-AI-Based-Automation-for-SAR-Drones-768x404.jpg 768w, https:\/\/www.unmannedsystemstechnology.com\/wp-content\/uploads\/2026\/05\/NEPI-by-Numurus-AI-Based-Automation-for-SAR-Drones-190x100.jpg 190w\" type=\"image\/webp\" sizes=\"auto, (max-width: 900px) 100vw, 900px\" \/><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-201717 size-full sp-no-webp\" src=\"https:\/\/www.unmannedsystemstechnology.com\/wp-content\/uploads\/2026\/05\/NEPI-by-Numurus-AI-Based-Automation-for-SAR-Drones.jpg\" sizes=\"auto, (max-width: 900px) 100vw, 900px\" srcset=\"https:\/\/www.unmannedsystemstechnology.com\/wp-content\/uploads\/2026\/05\/NEPI-by-Numurus-AI-Based-Automation-for-SAR-Drones.jpg 900w, https:\/\/www.unmannedsystemstechnology.com\/wp-content\/uploads\/2026\/05\/NEPI-by-Numurus-AI-Based-Automation-for-SAR-Drones-300x158.jpg 300w, https:\/\/www.unmannedsystemstechnology.com\/wp-content\/uploads\/2026\/05\/NEPI-by-Numurus-AI-Based-Automation-for-SAR-Drones-768x404.jpg 768w, https:\/\/www.unmannedsystemstechnology.com\/wp-content\/uploads\/2026\/05\/NEPI-by-Numurus-AI-Based-Automation-for-SAR-Drones-190x100.jpg 190w\" alt=\"NEPI by Numurus AI-Based Automation for SAR Drones\" width=\"900\" height=\"473\" \/><\/picture><\/a><\/p>\n<\/div>\n<\/div>\n<div class=\"wpb_text_column wpb_content_element\">\n<div class=\"wpb_wrapper\">\n<h3>\u65e0\u4eba\u9a7e\u9a76\u98de\u884c\u5668<\/h3>\n<p>NEPI was used as the basis for an AI-based automation and remote monitoring system for search and rescue drones in a student capstone project at Lane Community College. This demonstrates the value of NEPI in educational settings and for developers without deep software engineering backgrounds.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"vc_empty_space\"><\/div>\n<div class=\"vc_row wpb_row vc_inner vc_row-fluid vc_custom_1777298785296 vc_row-has-fill vc_row-o-content-middle vc_row-flex\">\n<div class=\"wpb_column vc_column_container vc_col-sm-12\">\n<div class=\"vc_column-inner\">\n<div class=\"wpb_wrapper\">\n<div class=\"wpb_text_column wpb_content_element\">\n<div class=\"wpb_wrapper\">\n<p><a href=\"https:\/\/www.nepi.com\/case-studies\/uw-tacoma\/?utm_source=unmannedsystemstechnology.com&amp;utm_medium=referral\" target=\"_blank\" rel=\"noopener noreferrer\" data-target-domain=\"www.nepi.com\/case-studies\/uw-tacoma\" data-df-outbound=\"1\"><picture><source srcset=\"https:\/\/www.unmannedsystemstechnology.com\/wp-content\/uploads\/2026\/04\/Numurus_Case-Study_UWT.webp 900w, https:\/\/www.unmannedsystemstechnology.com\/wp-content\/uploads\/2026\/04\/Numurus_Case-Study_UWT-300x158.png 300w, https:\/\/www.unmannedsystemstechnology.com\/wp-content\/uploads\/2026\/04\/Numurus_Case-Study_UWT-768x404.png 768w, https:\/\/www.unmannedsystemstechnology.com\/wp-content\/uploads\/2026\/04\/Numurus_Case-Study_UWT-190x100.png 190w\" type=\"image\/webp\" sizes=\"auto, (max-width: 900px) 100vw, 900px\" \/><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-201367 size-full sp-no-webp\" src=\"https:\/\/www.unmannedsystemstechnology.com\/wp-content\/uploads\/2026\/04\/Numurus_Case-Study_UWT.png\" sizes=\"auto, (max-width: 900px) 100vw, 900px\" srcset=\"https:\/\/www.unmannedsystemstechnology.com\/wp-content\/uploads\/2026\/04\/Numurus_Case-Study_UWT.png 900w, https:\/\/www.unmannedsystemstechnology.com\/wp-content\/uploads\/2026\/04\/Numurus_Case-Study_UWT-300x158.png 300w, https:\/\/www.unmannedsystemstechnology.com\/wp-content\/uploads\/2026\/04\/Numurus_Case-Study_UWT-768x404.png 768w, https:\/\/www.unmannedsystemstechnology.com\/wp-content\/uploads\/2026\/04\/Numurus_Case-Study_UWT-190x100.png 190w\" alt=\"NEPI AI-driven multi-sensor monitoring platform\" width=\"900\" height=\"473\" \/><\/picture><\/a><\/p>\n<\/div>\n<\/div>\n<div class=\"wpb_text_column wpb_content_element\">\n<div class=\"wpb_wrapper\">\n<h3>Autonomous research &amp; other platforms<\/h3>\n<p>A research team at University of Washington Tacoma used NEPI as the foundation for an AI-driven multi-sensor monitoring and detection platform for their autonomous ferry project. This use case highlights how NEPI can be used wherever teams need to collect synchronized smart data and automate systems without building infrastructure first.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"vc_empty_space\"><\/div>\n<div class=\"vc_row wpb_row vc_inner vc_row-fluid vc_custom_1777298785296 vc_row-has-fill vc_row-o-content-middle vc_row-flex\">\n<div class=\"wpb_column vc_column_container vc_col-sm-12\">\n<div class=\"vc_column-inner\">\n<div class=\"wpb_wrapper\">\n<div class=\"wpb_text_column wpb_content_element\">\n<div class=\"wpb_wrapper\">\n<h3>UGV<\/h3>\n<p>NEPI\u2019s platform-agnostic driver framework also supports control systems for UGVs and ground robotics platforms.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>Hardware-Agnostic Edge AI Software Platform for Smart 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