Tech
Drones paired with AI could help search‑and‑rescue teams find missing persons faster
AI-powered drones equipped with thermal and infrared imaging are transforming search-and-rescue operations, enabling teams to locate missing persons faster and assess their condition—including signs of injury, consciousness, or life-threatening temperature changes—in real time.
Adeel Khalid, Kennesaw State University
A combination of infrared imaging, thermal imaging and color cameras on an uncrewed drone, along with an AI system to interpret the data, can help emergency responders and search-and-rescue teams locate, identify and track people who have gone missing in the wilderness. The experimental system helps responders pinpoint where a missing person is and determine whether they are hurt or even alive.
People who get lost or hurt while exploring nature can become stranded for days. Rescue teams often use drones to look for the person or signs of their whereabouts. The small drone my colleagues and I built at my lab at Kennesaw State University flies autonomously using a grid search pattern. It sends live video and images to a ground station operated by the rescue team.
When the AI system finds a person, it analyzes images to determine whether the individual is upright or lying on the ground. It segments parts of the person’s body, identifying the person’s head and the body’s position. It then zeroes in on the forehead. It extracts forehead temperature readings, pixel by pixel, from the imaging data to estimate forehead temperature. We have two papers detailing these findings accepted for the American Institute of Aeronautics and Astronautics Aviation Forum 2026 conference.
Our AI model then assesses whether the person is conscious or unconscious and identifies abnormal temperatures that could indicate heat stress, hypothermia or other physical complications, or death – all vital information for a search-and-rescue team.
In field trials we have conducted, the system has provided consistent temperature readings of the heads of volunteers from our research team who have walked out into a variety of environments, under different conditions.
Why it matters
It is critical to get accurate and timely information on the whereabouts of a missing person. The likelihood that the person will survive decreases steeply as time passes.
An AI-enhanced drone can make search-and-rescue operations significantly more efficient than sending teams of people out into the environment to search on foot, especially in poor weather conditions or under thick foliage. Rescuers who know whether a person is conscious or unconscious can also better gear up for what they need to do to retrieve the person and administer aid. Our technology could save lives.
What other research is being done
Search-and-rescue personnel use various kinds of drones, but the machines often lack the ability to positively identify humans, especially under thick foliage, in bad weather or when the person is lying down or unconscious. The AI-based technology we have developed overcomes those challenges.
Better sensors that are very lightweight, that can function at night or in rain, and can see more clearly through thick foliage could further improve our drone and drones used by others. Researchers are devising AI-powered sound recognition for detecting screams for help, advanced thermal imaging for better nighttime vision and autonomous drones that could act as first responders.
Also under development are drones that can carry heavy payloads, such as flotation devices, fly for up to 14 hours or perform real-time mapping of the ground below.
What’s next
One of our next steps is to have multiple drones fly together and autonomously coordinate search-and-rescue operations among themselves. This will allow the technology to cover a much larger area, perhaps hundreds of square miles.
We are also designing a large drone that can carry up to 110 pounds (50 kilograms) of payload and stay aloft for an hour.
The Research Brief is a short take on interesting academic work.
Adeel Khalid, Professor of Industrial & Systems Engineering, Kennesaw State University
This article is republished from The Conversation under a Creative Commons license. Read the original article.
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Last Updated on April 7, 2026 by Daily News Staff
🕒 [UPDATE] Artemis II Reaches the Moon
Orion has reached lunar proximity, giving astronauts a historic view of the Moon as the spacecraft performs its flyby maneuver.
Artemis II Successfully Launches
CAPE CANAVERAL, Fla. — NASA has successfully launched its Artemis II mission, marking the first crewed journey toward the Moon in more than 50 years.
The powerful Space Launch System (SLS) rocket lifted off from Kennedy Space Center on April 1, carrying four astronauts on a 10-day mission around the Moon and back.
On board are Commander Reid Wiseman, Pilot Victor Glover, Mission Specialist Christina Koch, and Canadian astronaut Jeremy Hansen. The mission is already being hailed as a major milestone in NASA’s effort to return humans to deep space.
Shortly after liftoff, the Orion spacecraft successfully reached orbit and deployed its solar arrays, beginning its journey that will eventually send the crew on a translunar trajectory toward the Moon. 
Artemis II is a lunar flyby mission, meaning astronauts will not land but will travel farther from Earth than any human mission in decades while testing critical systems needed for future landings.
The mission also marks several historic firsts, including the first woman and the first person of color—Victor Glover—to travel into lunar space.
NASA says the mission is a key step toward future lunar landings and long-term plans to establish a human presence on the Moon later this decade.
🛰️ Artemis II Mission Timeline
The 10-day Artemis II mission follows a carefully planned trajectory from Earth to the Moon and back:
- Day 1: Launch and Earth orbit
- Day 1–2: Translunar injection burn
- Days 2–4: Deep space travel
- Days 4–5: Lunar flyby
- Days 5–8: Return to Earth
- Days 9–10: Reentry and splashdown
For official updates and in-depth mission details, visit the following trusted sources:
- NASA: Artemis II Mission Overview
- NASA Artemis Program (Return to the Moon)
- Orion Spacecraft – Mission Details
- Space Launch System (SLS) Rocket Overview
- Kennedy Space Center – Launch Operations
- Watch NASA Live Coverage and Replays
🧾 Sources
- NASA official launch coverage and mission updates
- NASA Artemis II press materials and briefings
- NASA Kennedy Space Center launch operations updates
Stay with STM Daily News for live updates on Artemis II.
CropX Technologies has launched CropX Vision, a new AI-powered vineyard monitoring solution designed to help growers measure vine water stress using a single canopy image.
The new tool uses computer vision and agronomic modeling to estimate leaf water potential from a smartphone photo, giving growers and agronomists a faster and more scalable way to assess plant stress across entire vineyard blocks. The company says the goal is to support better irrigation decisions throughout the growing season.
CropX Vision is available globally on both iOS and Android. The platform is also integrated into the broader CropX application, allowing users to combine canopy-based stress insights with other agronomic data in one place.
According to CropX, the technology offers an in-season alternative to traditional pressure chamber measurements, which can be more time-consuming and limited in sampling range. Instead of relying on specialized equipment, growers can capture a single image in the field and receive plant-level water stress insights.
The product builds on technology originally developed by Tule Technologies, a California-based precision irrigation company acquired by CropX in 2023. Tule’s canopy sensing technology has already been used in California vineyards, and CropX is now expanding that capability to growers worldwide.
CropX says the global release reflects its continued focus on data-driven tools that help growers improve productivity while managing water more efficiently.
CropX Vision is now available for download via the app stores:
- iOS: https://apps.apple.com/nl/app/cropx-vision/id6756921607?l=en-GB
- Android: https://play.google.com/store/apps/details?id=com.cropx.cropx_vision&pcampaignid=web_share
For more information, visit CropX Vision.
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Consumer Corner
Unilever, Google Cloud Strike Five-Year AI Partnership to Reshape Consumer Goods Marketing
Unilever and Google Cloud have announced a five-year partnership aimed at accelerating the consumer goods giant’s digital transformation through AI, cloud infrastructure, and data modernization.
The deal centers on helping Unilever strengthen brand discovery, marketing measurement, and AI-driven customer engagement across its global portfolio, which includes Dove, Vaseline, and Hellmann’s. A major focus is the rise of conversational and agentic commerce, where consumers increasingly discover and shop for products through AI-powered interactions rather than traditional search and browsing.
As part of the agreement, Unilever will migrate its integrated data and cloud platform to Google Cloud, creating what the companies describe as an AI-first digital backbone. That system is intended to help Unilever move faster on demand generation, turn data into actionable insights, and respond more quickly to shifts in the market.
The partnership is built around three pillars:
- Agentic commerce and marketing intelligence
- An integrated data and cloud foundation
- Advanced AI adoption across the business
Unilever leadership framed the move as part of a broader shift in which technology is becoming central to value creation in the fast-moving consumer goods sector. Google Cloud said the collaboration will use advanced AI models, including Gemini, to help modernize business processes and improve agility.
Unilever said it generated €50.5 billion in sales in 2025, operates in more than 190 countries, and reaches 3.7 billion people every day.
What to watch for
- How “agentic commerce” changes consumer brand discovery
- Whether other major CPG companies follow with similar AI-cloud partnerships
- How AI-backed marketing measurement impacts ad efficiency and conversion
Source: PR Newswire / Google Cloud
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