We Robotics uses E384 to Deliver Anti-Venom in Amazon

Non-profit organization We Robotics has achieved a world first by delivering anti-venom to a small village in the Peruvian Amazon. The area is densely forested and most transportation is on the water. As a result, transporting medical supplies from the nearest city can take up to 6 hours for a 35km trip. We Robotics has modified an E384, developed procedures and successfully navigated regulations in order to make the same delivery in just 35 minutes. For a region that reports 45 snakebites per year, their accomplishment may mean the difference between life and death.

Read more about the project here.

AgriDrone South Africa Joins Event 38 International Team

12-6-2016

AgriDrone, maker of the AgriDrone Multirotor System, partners with Event 38 Unmanned Systems to bring high acreage mapping drones to South Africa. AgriDrone provides their drones with full training and support services to ensure their clients are successful.

AgriDrone will begin carrying the E384 and E386 aircraft by Q1 2017. You can find out more by visiting AgriDrone at their website below.

http://agridrone.co/

Event 38 & Embrapa Conduct Joint Research

In association with Bird Eye Drone Services of Brazil, Event 38 and Embrapa begin join research for using drones on Brazilian farms.

Read more about the partnership on Embrapa News.

PPK GPS Tests Completed

With the Emlid Reach RTK GPS Receivers now available, we’ve been conducting tests to determine their accuracy and working on the integration into the E384 and E386. The goal was to determine relative, or scale, accuracy as well as absolute accuracy verified with a survey grade Trimble R6 Model 4.

We post-processed the data in three different ways to explore the effect each would have on the resulting data. For PPK GPS processing, there is a receiver onboard the aircraft and another stationary receiver on the ground. The ground receiver (base station) is used to calculate corrections to refine the position of the airborne receiver. The base station also calculates a precise GPS coordinate for itself, with the option of writing in another, more accurate coordinate if desired. We constructed orthomosaics on the Drone Data Management System™ using geotags calculated from the Reach base station and the Trimble base station, using either the Reach base coordinate or the Trimble base coordinate. The combinations for each test are listed below.

Base Station CorrectionsBase Station Coordinate
ReachReach + CORS
ReachTrimble R6-4 + ODOT VRS
Trimble R6-4Trimble R6-4 + ODOT VRS

Test1:

It was clear straight away that there was an offset between the Reach and Trimble coordinates, so we focused on scale accuracy for this test. The offset is clearly visible in the image below, where emp is the Reach base station coordinate and 6 is the same coordinate shot by the Trimble R6. To measure the scale accuracy of the Reach-only orthomosaic, we measured distances between several pairs of GCPs in different directions. The error was 3cm in each case.

GCP PairReach Orthomosaic (m)Trimble R6-4 (m)
12-4171.87171.84NE-SW
19-3115.23115.20North-South
5-2145.46145.43East-West

 

Test2:

Processing the geotags using the Emlid Reach base station but using a coordinate shot by the Trimble R6-4 resulted in very good accuracy relative to the Trimble shot GCPs, with an RMSE of 3.36cm.

GCPError (cm)
22.631
33.749
44.799
52.072
72.867

 

Test3:

Finally, processing using the trimble base station for both corrections and the base coordinate yielded similar results to those obtained with the Reach corrections, RMSE 3.54cm.

GCPError (cm)
24.667
33.099
44.189
52.104
73.075

These results should be considered very preliminary, as there were a number of factors that could have adversely affected the accuracy. The Reach coordinate may improve once we are able to calculate it with a closer VRS. The mission was collected with a relatively high GSD of 3.5cm/pixel, so it is difficult to pick the GCPs accurately.

Still, there are some conclusions we can draw from this data. Even without a good base station coordinate, the Reach system can produce very good scale accurate results. When paired with a higher quality coordinate, the Reach can produce very good absolute GCP coordinates. If a fixed position can be marked once by a survey grade GPS, then it can be used as a reference point for all missions in the same area, forever. It may also still be possible to obtain similar results with the Reach alone using the VRS network or Precise Point Positioning.

We’ll run more tests to verify the accuracy, but initial results are very good. We’re now making the first deliveries of the Reach system to select clients before a wider release in the very near future.

Welcome to our Newest Partner, Drone Sense, located in Ribeirao Preto, Brazil

Event 38 is pleased to announce its latest reseller partner in Brazil.

Drone Sense Tecnologia Aeria leverages Mauricio Gabiolli’s intimate knowledge of Event 38 drone operations and maintenance to bring local sales and support to Ribeirao Preto and surrounding areas. Visit the Drone Sense website for more information.

http://dronesense.com.br/

New E384-LR Promises Up to 2,100 Acres per Flight

Akron, Ohio – Event 38, a leading business drone solution provider, opened pre-orders for the E384-LR Long Range Mapping Drone. The E384-LR is a special configuration of the popular mapping drone, the E384. Incorporating a light-weight and high resolution Sony QX-1 camera with state of the art battery technology, the E384-LR can achieve a useful flight time of 110 minutes, covering as much as 2,100 acres (850Ha, 3.3sq mi) at a resolution of 5cm/pixel in a single flight. The E384-LR is expected to begin shipping on December 5th.

Jeff Taylor, CEO of Event 38, says, “Our customers depend on the E384 to produce aerial imagery of large areas from farms in Iowa to the most remote and inhospitable corners of 6 continents. By flying even longer, the E384-LR lets our customers spend less time swapping batteries and more time collecting data.”

Starting at just $4,298 for a complete drone mapping system including sensors and flight software, the E384-LR is also a very economical platform to acquire and maintain.

To see more options and check pricing, select the E384-LR configuration on the E384 product page.

 

About Event 38 Unmanned Systems: Based in Akron, Ohio, Event 38, www.event38.com designs and manufactures drones, (unmanned aerial systems), specialized optical sensors, and a precision analytics data platform for small and medium sized businesses. Today we have customers in 49 countries using our products for agriculture, surveying, construction, environmental preservation, and other applications.

DDMS™ Now Accepting Ground Control Points

The Drone Data Management System™ officially starts accepting ground control points as of today. Ground control points are used in situations where high accuracy, on the order of centimeters, is required for a map. They allow drone maps to be used for critical work in surveying, construction, agriculture and other industries.

Learn more about the Drone Data Management System™ or read how to start using your GCP data now.

Ground control points are billed on a per-use basis and are available only to users in the DDMS™ Advanced tier, please contact us for more information.

New Analysis Tools Available Now In DDMS™ Map Viewer

Two new tools are now available to all Drone Data Management System™ users. As part of the Map Viewer data analysis suite, users will now see a legend appear next to maps where an underlying data layer is present. NDVI, DVI and DEM layers show their scale of values and corresponding colors for easy interpretation of each layer. In addition, for the NDVI and DVI layers, clicking on the map at any location will also reveal a popup with GPS coordinates and exact data values.

legendinquiry

These features are automatically available to all users processing NDVI, DVI or DEM data.

Parrot Sequoia Cameras Now Available

Parrot Sequoia multispectral cameras are now available and shipping regularly as standard options on the E384 and E386. Contact us for more information or select the Parrot Sequoia option when checking out with either vehicle online.

Automated Optical Crack Detection in Pavement

At Event 38, we build drones for data collection, sensors and post-processing software. That puts us in the unique position of being able to support the full workflow from flight to results but also gives us all the tools we need to explore novel applications for drone data. Today, we’ll investigate the capability of drones to automatically capture, quantify and report on the presence of cracks in pavement. We’ve written an algorithm that automatically filters cracks from imagery and then calculates their length, width and density.

 

Method

Our algorithm uses ortho-rectified and stitched color imagery only. A series of morphological transformations is made to highlight then quantify the position and shape of each crack while ignoring irrelevant changes in color and texture. Although it would seem helpful, point cloud (elevation) data from LiDAR or photogrammetry would require excessive data collection to resolve height differences at the scale of most common cracks.

 

Capabilities

Using automated image processing only, we are able to separate real cracks in pavement from wet spots, stains, painted lines and tire marks.

The algorithm can be adjusted to discern cracks of different sizes. Detecting smaller cracks increases the rate of false positive detection, but most can be filtered so that small cracks are only detected when they occur together in groups.

We’ve also created a set of analytics tools that organize data about the cracks into human-readable statistics. These values can be used to compare the density of cracks between areas or over time.

Estimated Average Width1.01cm
Length10.53m
Total Area14.46m²
Density (linear distance/unit area)0.7267m-1

 

Limitations

This algorithm works best on light colored, clean pavement. Asphalt and tar hide the contrast of cracks and return few results for cracks less than 4cm wide. Surfaces with deteriorating coatings can also cause too many false positive returns because the peeled layers create edges and shadows that appear as cracks to the algorithm.

 

Applications

Despite the limitations, there are useful applications for crack detection and monitoring. Because the cracks can be quantified and mapped by density, the data can be used to determine when repairs are due and to monitor deterioration over time. Because the cost of collection and processing is small, it can be applied to many common commercial and industrial applications such as parking lot and private road maintenance.

Data for this study was collected at 35m altitude with a 12MP sensor. Assuming a small, square or rectangular project area and using an Event 38 multirotor mapping drone, data could be collected at a rate of about 1.2 acres per minute of flight. Including battery changes, an operator could cover up to about 45 acres per hour. If the project area is a long, thin strip of pavement such as bridges, roads, highways or runways, a fixed wing E384 or E386 could be used to cover significant distances quickly. An E384 could cover up to 21km linear distance over the course of an 80 minute flight making three passes at different angles.

We are encouraged by the promising early results from this algorithm but more user feedback is needed. If you can collect high resolution data or are interested in a joint research project, please contact us to discuss your application.