Loading video...

Video Failed to Load

Go Home

RailScan Multi-Function Robot: Railway Surface Inspection The RailScan robot is designed for track inspection, using a self-moving platform and precise sensors to quickly detect track defects. It assists track inspectors with nighttime inspections, addressing challenges in traditional manual inspections such as heavy workload, missed detections, and difficult tasks. The...

26,459 views • 1 year ago •via X (Twitter)

10 Comments

James Mishra (new account)'s profile picture
James Mishra (new account)1 year ago

@cheese_mishra

Lucid Scientific, Inc.'s profile picture
Lucid Scientific, Inc.1 year ago

Expand the possibilities of your metabolic research. Resipher tracks real-time cellular oxygen consumption in standard 96-well plates, delivering continuous real-time data directly from your incubator. Request a free virtual demo or quote today >>

TeslaElon SpaceXFan's profile picture
TeslaElon SpaceXFan1 year ago

👍

Harsh Kothari's profile picture
Harsh Kothari1 year ago

@AshwiniVaishnaw why can't we implement this in our railway trains to avoid accidents?

Michael Nwaehiodo's profile picture
Michael Nwaehiodo1 year ago

I've had this idea for 2 years, but the railway system in Nigeria is nothing to write home about.

Frits Karl's profile picture
Frits Karl1 year ago

Needs more speed to be practical.

Molecule's profile picture
Molecule1 year ago

Nighttime inspections are tough, robots like RailScan enhance precision while reducing human workload

Edward S… 🔋's profile picture
Edward S… 🔋1 year ago

@sierracatalina1 cool

Appy Pie's profile picture
Appy Pie1 year ago

RailScan Multi-Function Robot: Revolutionizing railway inspection with AI-powered precision! Detects defects, boosts efficiency, and enhances safety—especially during nighttime inspections.

Nerdkidz_DE's profile picture
Nerdkidz_DE1 year ago

Awesome.

Related Videos

Get ready for more East Palestine Ohio situations Rail lobbyists representing industry giants like Union Pacific are spending big money to pay off regulators to automate track inspections, even allow for trains carrying chemicals to drive over broken tracks for 72 hours before being fixed “Keeping railroad tracks safe is supposed to be their job. — But the biggest railroads want them to do it less. The class one railroads have requested a safety waiver to reduce visual track inspections from twice a week to twice a month. Nobody in the rail industry on the executive side can explain why that's rational. Big Rail, it seems, wants to go automated. They use this creative language of automated track inspection” “Every single day. We have the opportunity for an East Palestine three times.” “The carriers asking for those inspections to be reduced to twice a month. 75% reduction in the required inspections” “There is another concerning aspect of the waiver request. same waiver would allow railroads up to 72 hours to address a defect after it is identified. For years, it's required that defect to be remedied. — You're going to be running trains at full speed, 65, 70 miles an hour over that defect while it's still in the track for up to three days. I don't think anyone living around a railroad track or within a mile or two of the railroad track wants to have chemicals running over defects or wants to have passenger trains running over defects in their area. It's dangerous. It will cause derailments and it will cause death and it will cause harm and it will destroy the environment.”

Wall Street Apes

32,552 views • 1 year ago

Japan Airlines Introduces Drones for Aircraft Inspections Japan Airlines (JAL) has introduced drones at Tokyo Haneda Airport to inspect aircraft for damage and other defects — replacing a process that was previously carried out through extensive visual inspections by maintenance personnel. 🤖 How it works: The drones automatically fly around the aircraft while maintaining a set distance, capturing approximately 800 photographs in around 30 minutes. 🔧 Major efficiency gain: Previously, maintenance technicians could spend up to 10 hours visually inspecting an aircraft for damage and defects. The drone-based system is expected to significantly reduce inspection time while providing maintenance teams with detailed photographic data. 🛡️ Safety benefits: The technology can reduce the need for maintenance personnel to perform high-altitude visual inspections, lowering exposure to working-at-height risks while allowing technicians to focus on evaluating detected defects and carrying out maintenance. 📊 Beyond inspection: JAL expects the time saved through automated inspections could be redirected toward predictive maintenance and other maintenance activities, potentially improving aircraft availability, maintenance quality and operational efficiency. JAL will continue evaluating the system at Haneda before considering deployment at other airports across Japan. 🚁 From human eyes to autonomous aerial inspection — aircraft maintenance is becoming smarter, faster and safer. 🎥 Credit: The Asahi Shimbun Company #JapanAirlines #AircraftMaintenance #DroneTechnology #PredictiveMaintenance #AircraftInspection #MRO #AviationSafety

FL360aero

28,147 views • 23 days ago

🔥 JUST IN: Open-source robotics dataset from 100% real-world scenarios! 🤯 Chinese robotics company AGIBOT just released AGIBOT WORLD 2026, an open-source dataset systematically covering key embodied AI research directions. Built entirely from real-world environments: commercial spaces, and homes. Collected using AGIBOT G2 robots in free-form collection mode, providing structured, accurately annotated, high-quality data. Digital twin technology creates 1:1 scale replicas in simulation matching the real environments. Both real-world and simulation data are open-sourced. The AGIBOT G2 platform collects multiple data types simultaneously: RGB(D) cameras, tactile sensors, force sensors, LiDAR, IMU, and full-body joint states. Whole-body control coordinates arms, waist, and hands for complex tasks. First-person teleoperation lets operators control the robot from its perspective. The tasks covered are fine-grained manipulation, ultra-long-horizon tasks, spatial navigation, dual-arm coordination, and multi-agent/human-robot collaboration. The dataset includes error-recovery trajectories with annotations. Most datasets only show successful demonstrations. AGIBOT includes failures and how the robot recovers, teaching models how to handle mistakes. After collection, data is tested through policy training and real-robot deployment to ensure quality. Then processed through industrial quality control with multiple screening and cleaning rounds. Making it open-source accelerates embodied AI research by giving researchers access to high-quality real-world robot data at scale. 🇨🇳 Learn more here: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

40,583 views • 6 months ago