When someone goes missing in the wilderness or in mountainous terrain, time is the enemy. Traditional search and rescue operations rely on human teams, sometimes supplemented by drones equipped with cameras. But these methods are slow and often ineffective when the missing person is in a “radio shadow” area—a dead zone where cell towers cannot connect to phones and where E911 location services fail. In such cases, rescuers face vast, undefined search zones, losing precious hours that often determine whether someone will survive.
This is the challenge Solvit set out to solve. You may recall their earlier innovation, the SOLVIT iSAR system, which utilized radio-wave analysis and intelligent inference to reduce search areas by a factor of 25 and expedite operations. At that time, it already appeared to be a game-changer for search and rescue teams. Now, Solvit is introducing the SOLVIT Bridge, a new solution designed specifically for rescue operations in radio-shadow areas where conventional methods reach their limits.
At its core, SOLVIT Bridge combines advanced algorithms with radio-repeater drones. Here’s how it works: first, the system analyzes base station connection records and applies a time-series diffusion model to infer the most likely areas where the missing person may be located. This automatically reduces the search area—something that used to take hours of manual planning—down to 1/25 of its original size in under ten minutes.
Then, drones equipped with repeaters extend cell coverage into dead zones, essentially converting “no service” areas into reachable networks. These drones relay calls and SMS signals, which help detect the presence of the missing person’s phone, even if the individual is unconscious and cannot respond.
Searching with a cellphone signal offers one huge advantage over cameras—even thermal cameras: it does not require line of sight.
Cameras, whether optical or thermal, can only detect what is visible from the air. If a missing person is under dense tree cover, hidden behind rocks, or lying in a ditch, the drone’s camera might completely miss them. Thermal cameras, while powerful, also struggle when the subject is shielded by vegetation, soil, or even thick clothing. Weather conditions, such as fog, rain, or snow, can further reduce visibility, and searching large areas still requires considerable time.
By contrast, searching with radio signals is independent of visibility. Every mobile phone continuously connects to nearby cell towers, leaving a trail of data points behind. In radio-shadow areas, those signals are cut off—but Solvit Bridge restores them by flying repeater drones that extend network coverage into those dead zones. Once coverage is re-established, even a phone that is hidden in dense foliage or carried by someone who is unconscious can still be detected. The system can relay calls or text messages and register whether the phone responds at all.
This signal-based approach means rescuers don’t have to physically see the missing person to know they are there. Instead, they can map probabilities, narrow down the search zone, and home in on the target much faster and more reliably than scanning landscapes from the air.
The technology is remarkably effective. By shifting from visual searches to radio-based detection, SOLVIT Bridge is up to 200 times faster than human teams and 10–50 times faster than camera drones. It also achieves over 95% reliability since it is unaffected by vegetation, fog, or darkness—conditions that usually cripple traditional drone imaging. Another key advantage is accessibility: the missing person does not need any special equipment or apps; simply carrying a normal mobile phone is enough.
Traditionally, rescue teams have relied on intuition, last-known locations, and manual mapping to define search areas, often covering several square kilometers at a crawl. Camera drones offered an upgrade, but their efficiency drops dramatically in forests or in poor weather conditions. Satellite messaging on modern phones has been helpful in some situations, but few devices feature this technology and require proactive action from the lost individual. Solvit’s approach removes these limitations by actively recreating mobile coverage where it does not exist.
Founded with a mission to bring science-driven innovation to public safety, Solvit has steadily built a reputation for advancing search and rescue technology. The company already holds patents for its radio inference and shadow-zone reduction methods, with more pending. Its work aligns with a growing global concern: ensuring that emergency services are available even in the most remote or hostile environments. By bridging the gap between network science and field operations, Solvit not only saves lives but also lowers the social and financial costs of large-scale rescue missions.
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