We deploy the HAGES architecture into environments where the consequence of failure is extreme, but manual access is prohibitively expensive or lethal.
Across global infrastructure, high-consequence assets are operating dangerously below mandated inspection frequencies. Traditional manual inspections cost upwards of $122,000 per event — driven primarily by asset downtime and safety standby. HAGES closes this gap for $34,000.
Consequence severity of missed inspection vs. inspection frequency (events/year). Bubble area represents the addressable market, while dashed circles indicate the required, mandated frequency.
Between 2019 and 2023, U.S. mining fatalities trended upward to 40 per year, driven by ground falls, gas explosions, and machinery accidents. Relying on human entry to inspect active drives, stopes, and ore passes exposes personnel to unpredictable and lethal risks.
Standalone drones hit a physical endurance wall at a limit of ~150 meters. Meanwhile, standalone rovers suffer a 56% capability loss over 500 meters due to terrain limitations. Neither single-mode system can independently map complex, multi-kilometer underground drives.
The goBilda Overlander-T crawler transports the DJI Matrice 350 RTK deep into the drive. The M350 launches to map featureless stopes autonomously. Crucially, the drone returns to the rover for mid-mission wireless recharging. This hybrid system maintains a 90% operational capability even at 500m penetration.
Confined space entry accounts for ~100 fatalities and 5,000 non-fatal incidents annually in the U.S., primarily due to toxic gas, engulfment, and oxygen deficiency.
Because mandated OSHA safety and rescue standby teams cost between $3,000 and $15,000 per event, municipalities cannot afford routine checks. As a result, sewer mains operate at just a 38% compliance rate.
Lowered directly into the access chamber, the Overlander-T crawler base uses its 48mm Badlands tank-tracks to conquer uneven pipe inverts, debris, and rocky gravel that stop traditional wheeled rovers. The system navigates pitch-black environments to capture high-fidelity baseline LiDAR point clouds without requiring gas clearance or a single human entry.
Deployed in a large-diameter sewer network, HAGES mapped a priority section with zero human entry. The engineering assessment flagged structural cracking at 3 junction boxes, triggering targeted remediation rather than blind capital spending.
For transit infrastructure, the ultimate hazard isn't toxic gas—it is asset downtime. Systems operate hundreds of kilometers of track with restricted maintenance windows from just 0200–0500 nightly. Manual crews simply cannot cover enough ground before morning service resumes.
Long, linear scans are notoriously difficult for mobile-based LiDAR. Without varying structural features, standalone drones struggle to remove accumulated drift, creating a severe risk of SLAM slip resulting in scrambled data or drone crashes.
HAGES executes a specialized zig-zag flight pattern to capture structural vault data at high speeds while eliminating drift. The rover moves continuously down the trackbed, acting as a mobile launchpad. The UAV docks to recharge mid-mission before the brief window closes.
Capturing the environment is only the beginning. Our tiered HAGES service packages convert raw field data into annotated engineering roadmaps and structural assessments.
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