EOS is a dual-core operating system designed specifically for embodied intelligence, suitable for robots, drones, satellites or other scenarios requiring real-time and general capabilities.

Plant diseases causes many significant damages and losses in crops around the world. Some suitable measures on disease identification should be introduced to prevent damages and minimize losses. Early Detection of Disease helps in increasing the crop productivity as well as in minimizing expense. Technical approaches using machine learning and computer vision are actively researched to achieve intelligence farming by early detection on plant disease. The accuracy of object detection and recognition systems has been drastically improved by the recent development in Deep Neural Networks. By using these systems and implementation of computer vision and machine learning techniques, plant diseases can be detected. Here we have used transfer learning based approach to diagnose diseases of different plants using its images captured by camera devices either drone or smartphone. Our goal is to build a market oriented product for Plant Disease Detection, a smartphone app compatible with both smartphone camera and drone camera. The target group of the user is those who request a quick diagnosis on common leaf disease at any time of the day i.e. Farmers, agricultural industries, agricultural consultants and Government Agencies & Departments.

DIAMANTS is an open-source platform for distributed intelligence and swarm robotics. It unites ROS2, Python/Mesa, WebGL, and Kubernetes into a scalable stack that enables real-time orchestration of autonomous systems, from collaborative simulation to large-scale drone operations in the field.

This project develops an automated forest fire surveillance system using UAV drones, combining Artificial Intelligence (AI) with the YOLOv11 model optimized by TensorRT to run on NVIDIA Jetson Nano.

This "Smart City Traffic AI Cloud Platform" project aims to improve traffic management in smart cities by developing a cloud-based system that utilizes artificial intelligence (AI) and big data collected from CCTV cameras, IoT devices, and drone images. This platform will provide functionalities for both city traffic agents and the public clients.

Amazon announced a new device called the Glow during its fall product launch event, a $250 video chatting gadget that allows children to virtually interact with loved ones by playing games and reading books together. Although the company has been selling the Echo Dot Kids Edition for years, it's rare for Amazon to develop an entirely new device designed specifically for children. While it's new for Amazon, the general concept behind Glow might sound familiar -- especially if you've ever used the storytelling app Caribu or the Osmo brand of educational tablet accessories. That's because although they're different products, they share a lot of underlying qualities with Amazon's Glow. Caribu is designed to help kids play games and read stories with relatives remotely through an interactive video chatting platform, and Osmo is all about incorporating real-world game pieces into educational games you can play on a tablet. Read more: Amazon unwraps privacy features as it tries to roll deeper into your home To understand the similarities, it's important to know how the Glow works. Amazon Glow is an Alexa-free video chatting device that consists of an 8-inch upright display, a camera with a built-in shutter and a projector. The device isn't available to the public yet and can only be obtained via invitation since it's part of the company's Day 1 Editions program. The basic premise behind the Glow is simple. Children can video chat with relatives and loved ones on the device's screen, while a projector conjures up a virtual play area for games and activities that's displayed on a silicone mat in front of them. The person on the other end of the call can participate in that game or puzzle on their tablet through the Glow app.The activities are also designed to combine real-world elements with digital ones. For example, in a demo video on Amazon's website, kids can be seen arranging physical game tiles, drawing pictures with their finger on the play mat and moving digital puzzle pieces on the mat -- all while a grandparent or aunt on the other end cheers them on. The device will come with a one-year subscription to Amazon Kids Plus and will feature content from Disney, Sesame Street, Barbie, Pixar and Hot Wheels. The Caribu app is built on a similar concept, but with a different execution: It's an app with the same goal, not a purpose-built device. Caribu is meant to make the video calling experience more interactive by enabling children and loved ones to share experiences like bedtime stories, coloring sheets and games virtually. It's essentially like a Zoom for kids that's available on iOS, Android and the web, but with built-in activities. The app has been around since 2016, but grew in popularity throughout the pandemic as relatives looked for ways to connect with little ones they couldn't see in person. Maxeme Tuchman, Caribu's CEO and co-founder, doesn't seem bothered by Amazon's entry into the space. "What I can say is that Caribu obviously identified a problem in the market, started a trend, and now everyone wants in," Tuchman said in a statement.Osmo, on the other hand, is more about turning your tablet into an interactive device for educational games and activities rather than social interaction. Osmo's system involves slotting a compatible tablet into a base that enables it to stand upright in portrait mode. You would then place a red reflector piece over the device's camera. This reflector enables the tablet to detect physical game pieces so that these real-world elements can be incorporated into the game on screen. Games designed for the Osmo cover a range of skills, including coding, literacy, critical thinking, drawing, math and science. Certain Osmo bundles are priced similarly to the Amazon Glow, but the starter kit -- which includes the base, reflector, and four games aimed at children ages 3 to 5 -- costs just $79. Read more: Always Home Cam: Amazon's flying Ring drone might be tricky to get your hands on Like Caribu, Osmo isn't an apples-to-apples competitor to Amazon Glow. Amazon seems focused on the technology while it relies on big-name partners for most of the content, unlike Osmo. And Osmo is centered on solo playtime and learning, rather than shared experiences. There are also some fundamental differences in how the products work. Osmo doesn't project images onto a nearby surface like the Glow. Instead it uses the reflector to send an image of game pieces or a child's drawing to the tablet's camera so it can be incorporated into the game. Amazon also specifically mentions that the Glow itself isn't a toy, despite its similarity to products that are considered to be part of the toy market.Still, the core appeal of both products comes down to combining an on-screen experience with real-world play elements. As is the case with Caribu, the concepts are just carried out in different ways. Similar to Tuchman, Osmo co-creator Pramod Sharma didn't express concern about increased competition from Amazon. "We're excited to see Amazon join the play movement we started with Osmo over seven years ago," Sharma said via email. Amazon's device also isn't the first experimental computing device to rely on a projector as a central part of the interaction. You might remember HP's Sprout Windows 8 all-in-one PC from 2014, which projected a second screen onto a 20-inch touch sensitive mat situated in front of the computer for drawing and other creative work. It's easy to understand why Amazon would develop a product like the Glow at a time like this. The pandemic has normalized remote learning and fueled interest in connecting with family members virtually. At the same time, technology is playing a bigger role in the global market for educational toys, which is expected to grow from $19.2 billion in 2020 to $31.62 billion by 2026, according to Arziton Advisory and Intelligence. Toys that use augmented reality to overlay digital graphics on real-world objects will likely boost the demand for learning toys year-over-year, says the report.Tech companies are also increasingly tailoring their products to appeal to younger audiences. Facebook offers a version of its Messenger chat app for children, and the company has been building a version of Instagram for kids, too. (Those plans were recently put on hold following backlash over the concerns that come with exposing younger age groups to social media.) Apple launched parental controls for the iPhone in 2019 and released Swift Playgrounds in 2016, a game aimed at teaching children how to code in Apple's Swift programming language. It's too soon to know whether the Amazon Glow will be a success. Amazon's Day 1 Editions program is meant to provide access to new products before they're ready for prime time, meaning they may not be ready for widespread release. Not all products in the program make it past the Day 1 Editions phase either. The Echo Loop, an Alexa-powered smart ring, never graduated from Day 1 Editions to become a real product, for example.We'll have to wait until we've tried Amazon's new child-friendly gadget to know how it stacks up against existing products.

A safety-critical drone swarm system built in Rust with zero heap allocation, Byzantine fault tolerance, and real-time swarm intelligence algorithms.

AeroVision-AI is an advanced aerial intelligence system for real-time vehicle detection, tracking, and analytics from drone footage. Built with YOLOv8, Streamlit, and OpenCV, it offers live inference visualization, CSV-based analytics, dynamic watermarking, and video export, a production-grade showcase of computer vision in motion.

Embodied Intelligence is an embodied intelligence and spatial intelligence algorithm library launched by CAICT and BUPT. It mainly serves the embodied intelligence operating system EOS, but it also supports multiple platforms such as robots, drones, AR/VR and mobile phones.

The Drone AI Project is an open-source drone system that uses artificial intelligence for live streaming, image capture, and advanced functionalities such as object detection, mapping, surveillance, mask detection, face tracking, and license plate recognition.

This "Smart City Traffic AI Cloud Platform" project aims to improve traffic management in smart cities by developing a cloud-based system that utilizes artificial intelligence (AI) and big data collected from CCTV cameras, IoT devices, and drone images. This platform will provide functionalities for both city traffic agents and the public clients.

INTENTRA-X is a cognitive drone intelligence system that predicts flight intent and evaluates exposure risk in real time using LSTM-based behavior analysis. Integrated with AirSim and a tactical dashboard, it enables autonomous, adaptive decision-making with transparent risk visualization and uncertainty awareness.

Junction Sentinel is a secure, multi-agent system designed to address drone cybersecurity and data privacy. The platform utilizes a layered, privacy-by-design architecture to provide real-time intelligence while ensuring compliance and data protection.

Decentralized autonomous drone swarm system for real-time threat detection, prioritization, and interception using swarm intelligence.

It is a drone system that detects and analyzes pests and diseases using artificial intelligence technology.

Projects Autonomous System and Technology Solution in the field of Artificial Intelligence, Robotics, Drone, UAV, Machine learning, Cyber Security, Secure Communication...

A 3D simulation framework for autonomous drone swarms exhibiting emergent flocking behavior. This project demonstrates advanced concepts in swarm intelligence, multi-agent systems, and biomimetic algorithms.

The ASRDS aims to develop an advanced drone system for military applications, focusing on autonomous surveillance, reconnaissance, and intelligence gathering. This project will leverage cutting-edge technologies in AI, machine learning, and drone engineering to enhance situational awareness and operational efficiency in defense scenarios.

An AI-powered border security system uses artificial intelligence technologies — integrated with sensors, cameras, drones and databases to monitor borders more efficiently and accurately than traditional methods. These systems continuously analyze data in real time to detect threats such as illegal crossings, suspicious vehicles, or contraband.

SkyGuard Intelligence is an advanced AI-powered aerial surveillance system designed for real-time threat detection and classification. Built with cutting-edge YOLO11s deep learning technology, the system provides military-grade accuracy in identifying and distinguishing between civilian and soldier personnel from aerial drone footage and images.

GeoCore is a backend geospatial platform built to demonstrate production-grade API architecture using spatial databases. It is the kind of system that companies building drone platforms, logistics intelligence tools, or location-aware infrastructure would build as their core data layer.

This repository hosts the dataset and code for my SIP research project: Development of a Deep Learning Automated Aerial Intelligence System for Pod Count Estimation and Health Monitoring of Grafted Trinitario Cacao Trees using AI-driven drones. Includes image data, annotations, and training pipelines.

GeoVision is an AI-powered tool for military and disaster response that matches satellite, drone, or camera images with global geospatial data. Users upload an image, and the system analyzes it to find matching locations, returning coordinates, distances, and bearings to aid in civilian rescue and military intelligence operations.

Future Development Trend of Underwater Drone 1. Technological innovation will be the eternal theme As a highly technology-intensive and systematic project, underwater vehicle mainly includes six technologies: simulation, intelligent control, underwater target detection and recognition, underwater navigation (positioning), communication and energy system. Compared with developed countries, there is still a big gap in the research of some key components and materials of underwater vehicles in our country. To realize industrialization, the emphasis is the research and development of basic materials, important components, high-precision detection equipment and sensors. Therefore, technological innovation will be a long-term work. 2. Intelligence and endurance of AUV is the key Since 1953, especially after 1974, with the rapid development of offshore oil and gas industry, AUV has also been developing rapidly. Compared with ROV, AUV is not limited by cables, and has the characteristics of wide range of activities and good mobility, so it is suitable for a wider range of fields. On the one hand, the level of intelligence has become a key factor in the development of AUV technology. Intelligent control technology aims at improving the autonomy of underwater vehicle. Its architecture is the integration of artificial intelligence technology and various control technologies, which is equivalent to human brain and nervous system. On the other hand, the requirements of AUV for energy system are small size, light weight, high energy density, repeated use, safety and low cost. From this point of view, the underwater UAV still has a lot of room for improvement. 4. Prospects for the consumer sector are promising In terms of market size, the global experiential diving service market has grown at an average rate of about 15% in the past five years and nearly $25 billion in 2015. At present, the global scale of diving enthusiasts has reached 200 million, the scale of consumer-grade underwater image market has reached 10 billion US dollars, and some mature enterprises have emerged. The average growth rate of experiential diving service market in China in the past five years is about 36.5%, which is obviously higher than the global growth rate, exceeding $2.1 billion in 2015. Consumption prospects are considerable. In summary, under the principle of government guidance and enterprise leadership, underwater vehicles have great potential in marine environment monitoring, marine resources development, disaster prevention and mitigation, and marine environment security.

The long-term economic effects of AI are uncertain. A survey of economists showed disagreement about whether the increasing use of robots and AI will cause a substantial increase in long-term unemployment, but they generally agree that it could be a net benefit, if productivity gains are redistributed.[240] A February 2020 European Union white paper on artificial intelligence advocated for artificial intelligence for economic benefits, including "improving healthcare (e.g. making diagnosis more precise, enabling better prevention of diseases), increasing the efficiency of farming, contributing to climate change mitigation and adaptation, [and] improving the efficiency of production systems through predictive maintenance", while acknowledging potential risks.[193] The relationship between automation and employment is complicated. While automation eliminates old jobs, it also creates new jobs through micro-economic and macro-economic effects.[241] Unlike previous waves of automation, many middle-class jobs may be eliminated by artificial intelligence; The Economist states that "the worry that AI could do to white-collar jobs what steam power did to blue-collar ones during the Industrial Revolution" is "worth taking seriously".[242] Subjective estimates of the risk vary widely; for example, Michael Osborne and Carl Benedikt Frey estimate 47% of U.S. jobs are at "high risk" of potential automation, while an OECD report classifies only 9% of U.S. jobs as "high risk".[243][244][245] Jobs at extreme risk range from paralegals to fast food cooks, while job demand is likely to increase for care-related professions ranging from personal healthcare to the clergy.[246] Author Martin Ford and others go further and argue that many jobs are routine, repetitive and (to an AI) predictable; Ford warns that these jobs may be automated in the next couple of decades, and that many of the new jobs may not be "accessible to people with average capability", even with retraining. Economists point out that in the past technology has tended to increase rather than reduce total employment, but acknowledge that "we're in uncharted territory" with AI.[33] The potential negative effects of AI and automation were a major issue for Andrew Yang's 2020 presidential campaign in the United States.[247] Irakli Beridze, Head of the Centre for Artificial Intelligence and Robotics at UNICRI, United Nations, has expressed that "I think the dangerous applications for AI, from my point of view, would be criminals or large terrorist organizations using it to disrupt large processes or simply do pure harm. [Terrorists could cause harm] via digital warfare, or it could be a combination of robotics, drones, with AI and other things as well that could be really dangerous. And, of course, other risks come from things like job losses. If we have massive numbers of people losing jobs and don't find a solution, it will be extremely dangerous. Things like lethal autonomous weapons systems should be properly governed — otherwise there's massive potential of misuse."[248]

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Drone Intelligence System is a full-stack AI-powered platform that acts as a comprehensive drone knowledge hub, integrating RAG-based document intelligence, real-time analytics, and an interactive dashboard using modern web technologies.

AI-powered Drone Intelligence System for India

An AI-powered Drone Intelligence System for India built using RAG, MCP tools, FastAPI, and Streamlit. The system provides drone regulations, use cases, business insights, intelligent calculators, and an interactive dashboard tailored to India’s drone ecosystem.

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