The VR Goliath is a high payload drone suitable for missions in both outdoor and indoor hostile environments. It finds its best application in those contexts where navigation is not entrusted to the GPS but to the sensors on board the drone. He performs optimally in total dark and confined areas ( boilers, dams, chimneys ) executing precise inspections by his own lasers and LIDAR sensors and specific high-resolution optics.
1 Companion Computer for Lidar managment / indoor autonomous navigation and obstacle advoidance.
1 Router for interconnection with Ground Station system.
1 mini ground station for pilot support.
1 Ground Station : control drone, mission planning , autonomous mission .
VR Goliath Advanced and Survey Framework
Drone > 10 KG
Advanced Framework :
Lidar managment : SLAM algorithms for mapping and localization.
RTK GPS submetric precision.
Payload managment for 20 e 40 Mpixel camera.
Ideal for mission inspection , mapping , control.
Our autonomous drones can automatically manage both the flight functions (takeoff, mission, landing) and their recharging. They can be operational 24 hours a day without human intervention. Our A.I. COGITO platform autonomously manages the most delicate phases of the mission, relating to the entry and exit from the docking station for the shelter and automatic recharging of drones. Specific customizations are available for VTOLs equipped with wings that allow surveillance over large areas with long autonomy for each individual flight.
Archon Autonomous Drones for PV inspection
The services are accessible anywhere in the world through an easy-to use web interface.
COGITO Neural Network interfaced
No need to pilot the drones. Flying cameras move automatically.
A.I. switches between multiple drones to guarantee continuance of service.
Highly secure communication and robot control (encryption/authentication).
Future: automatic intrusion detection, Virtual control/visualization center
Every drone is capable of flying and hovering vertically like an helicopter and to safely land with motorized wheels, for recharging.
Two kind of drones can be used, depending on the size of the plant:
small quadcopters (1)
hybrid quad-planes (2)
On-demand thermal/visual inspection of any panel at high resolution.
On-demand video/thermal monitoring of the site (e.g. alarm verification).
Tracking functionality to control gimbal motors at the aimed spot.
Roll correction, frequency jitter removal.
Payload data acquisition is controlled through the autopilot communication protocol, taking snapshots at specific GPS coordinates (or through localization after the addition of SLAM and Stereo3D vision).
Data needs to be stored locally and transmitted when within range.
Fully Autonomous (ATOL) Helicopter for aerial surveillance, law enforcement, scientific and environmental research missions
Dry weight: 9Kg;
Main tank: 1,3 L (additional 1L tank for extended range capabilities);
Flight endurance: at MTOW 55mins; up to 2 hrs under different tank/payload arrangement;
Operative Range : up to 20 km (in accordance with local laws and regulations;
Cruise Speed: 85 km/h;
VNE: 120 km/h;
Fuel Consumption: 17cc/min @full power;
Maximum height: 3000 ft;
Gasoline powered 4 stroke engine, capable of delivering extremely high power outputs, still keeping emissions and noises low.
Best match between flight endurance and range in relation to the payload in the nowadays UAV market.
Unprecedented performance levels, it is now possible to fly longer, with lower operative costs, if compared to current UAV multirotor or UAV plane in the 25kg MTOW range.
Easy to operate and plan waypoint missions through tabletPC (VRPad station is included as a standard in the offer), still maintaining a secondary RF control (Long Range radio system) to ensure high levels of flight safety and to guarantee a reliable redundant solution.
An average 15 mins from deployment to ready for takeoff condition (including preflight checks, fuel filling, startup/warmup).
Fully automatic flight (Automatic take-off and landing-ATOL), or manual/stabilized flight modes.
The VR Mapper 300 is an ultra-light, harmless drone specifically designed for photogrammetric tasks in urban areas. It has onboard the most advanced technology of automatic flight control and can be fitted with different types of sensors in “plug and play” mode. It can be equipped with 4G or LTE control. Our laboratories are ready for testing as soon as the new 5G technology will be made available.
VR MAPPER 300
Harmless APR < 300 gramms.
Compliant to Reg. Enac v2 spcifications
Can operate in urban areas .
Pilot license and medical examination not needed.
Flight time max 13 min.
Mini Lifter with Payload Plug and Play architecture
Available Payload :
Camera 16 Mpixel.
Flir sensor + Camera 5 Mpixel + Android On Board
Q Flight : advanced navigation platform
SLAM by Optical Flow and Stereo Vision.
Architecture VR Goliath Lite
Laser navigation has developed and produced an ergonomic backpack with a spherical camera or LIDAR to carry out three-dimensional reconstructions of environments or geo-referenced stereo spherical images for the census of housing units or sensitive details for industry and institutions.
The backpack manages in real time the processing of LIDAR images and communicates, through 4G/ LTE, with our laboratories for the post-processing of three-dimensional spherical images. We are ready for its engineering with the next 5G technology.
With a low weight, we have been able to provide an extremely versatile tool for field operators who can also count on an operating autonomy of more than 8 continuous hours. (Battery hot-swap). The backpack automatically interfaces with PDAs and smartphones of the operating teams allowing better management of the routes taken by them and for their management.
The (rigid) backpacks meet criteria of ergonomics and weight that allow operators to easily wear them and support their weight for several hours. They are made of impact-resistant plastic with IP65 protection suitable for outdoor use.
SPHERICAL CAMERAS AND LIDAR
– 6 synchronized 5MP cameras for a total of 30MP
– Velodyne VLP 16 : 16 lidar beam until 100 m. +- 30 ° FOV
– 14.5FPS shooting frame rate in uncompressed format
– Global shutter sensors for maximum accuracy in panoramic image reconstruction
– 90% coverage of the shooting sphere
– USB 3.1 connection
– Power supply 12-14V
– Maximum consumption 13W
In order to allow the teams to reach the correct shooting localization, the backpack is equipped with a redundant localization system that uses a GPS with RTK and GPS functionality and an additional module to improve the positioning in urban areas (strong shielding, high buildings) that uses the localization on cell base and Wi-Fi networks to increase accuracy.
Hardware components inside the backpack
The internal components of the backpack are dimensionally customized and positioned in such a way as to keep the backpack balanced on the central axis.
The backpack contains:
A custom computer for the management of video streams, with the following features:
Intel i7 processor
16GB RAM memory
SSD hard disk min. 240 GB
Ethernet and WiFi connection
3 USB 3 ports, one of which is dedicated to the camera
LTE router for remote presence functions
WiFi access point to allow the control of the functions through the handheld
Inertial Navigation Module
GPS module with external antenna
Cell base location and Wi-Fi module
Internal cooling system by means of low consumption silenced fans.
High-efficiency LiPo battery packs with Hot-Swap exchange system that allows a quick change to meet the need for a continuous autonomy of at least 8 hours.
Supplied with the backpack:
COGITO A.I. and its “3” << Cognitive Engines >>
The COGITO Artificial Intelligence platform with its 3 neural “engines” allows having in a single suite of A.I. functions of deep learning, georeferencing, and workflow. COGITO allows applying the artificial intelligence to complex events that become usable, to the final user, in their classification and interpretation, making known and precise their spatial position and generating specific activities of information and active control that allow emulating the actions that a skilled human observer would do. This happens without solution of continuity. COGITO doesn’t get tired and doesn’t get distracted.
Realtime 3D reconstruction using SFM algorithms.
Localization and Mapping SLAM for 3D recostruction , realtime localization and obstacle advoidance. Typical application is autonomous navigation.
Machine Learning CNN technology for realtime video classification , localization and scenario description
A.I realtime pose detection estimation .
A.I. realtime DPI detection .
Realtime geo localization of object view in the scenario by standard camera and classify by CNN neural network.
Based on the proven technology of aerial drones we developed a system of self-bathymetric survey that is unique in Italy. This technique involves the use of a small electric powered boat which is able, in a completely autonomous way, to “map” the bottom of lakes, rivers and harbors generating a three dimensional image of the conformation below the water surface.
The data obtained will allow planners, geologists and other professionals to obtain a clear assessment of the state of the seabed with the aim to plan with greater precision and efficiency needed interventions.
The system is controlled by an artificial intelligence system that processes the information coming from satellites and intergrates them with the inertial sensors installed on board. Such processing capability makes it possible to do autonomous navigation and consequently to obtain an increase in accuracy and a sensitive reduction in the time of investigation. The operator, via a laptop computer determines the area of interest and traces the contours on a virtual map. The software then generates a grid of inspection on the basis of the data requested by the customer and sends the route to the boat that will perform the inspection sending real-time collected data and saving it on internal memory.
Our autonomous ROVERs for inspection in long tunnels, with a hostile environment and not covered by communication systems, are able to perform missions of several kilometers automatically managing the release of self-directing communication buoys. These allow the creation of a backbone connection that permits the ROVER to be remotely controlled in its handling and inspection task.
VR ROVER 2.0
Automatic Path Planning
SLAM : Localization and Mapping
GNSS L1 GPS – Glonass – Beidu.
GNSS L1 L2 L3 L4 RTK
Laser Navigation System – Map Matching
Camera 8/16/20/40 Mpixel.
TOF SENSOR RGBD.
Industrial Camera 4 Mpixel 180 FPS
Lidar Velodyne PUCK 16
Sensore Flir + Camera 5 Mpixel + Android On Board
Modular VR Goliath Architecture.
Modular Cogito AI.
Modular Architecture :
Custom companion computer .
On board Hyperlan , Satellite and 4G / Lte data connection.
Navigation algorithm based on advanced A.I. technology .