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Drones, data and artificial intelligence are leapfrog technologies that allow more informed and agile development response and potentially accelerate economic growth in the region. However, to achieve this, Malawi and neighbouring countries lack qualified and skilled personnel needed to seize the opportunities offered by drone and data technology. To respond to the skills deficit, UNICEF established the first African Drone and Data Academy (ADDA) in January 2020.

The African Drone and Data Academy: The African Drone and Data Academy (ADDA) aims to be a centre of excellence that will dually equip young people in Malawi and the African region with necessary 21st-century skills while strengthening the drone ecosystem for more effective humanitarian and development response.

The ADDA course, developed by the international project lead Virginia Tech, combines theoretical and practical methodologies in making, testing and flying drones. The curriculum allows young people to learn how to construct and pilot drones, to integrate them into a supply chain system and to analyse drone data. It follows UNICEF’s ‘Drones and Data for Good’ vision, focusing on the potential of technology to deliver positive results for every child.

The best high-end camera costing more than $2000 should have plenty of resolution, exceptional build quality, good 4K video capture and top-notch autofocus for advanced and professional users. In this buying guide we’ve rounded up all the current interchangeable lens cameras costing over $2500 and recommended the best. ‎Have a new iPhone 12 Pro or 2020 iPad Pro with LiDAR sensor? Get this app and try to 3D-scan your house with it! With LiDAR Scanner 3D, making 3D models and exporting them into several formats (USDZ, OBJ, STL, PLY) is seamlessly easy. Note that the scans do not contain colors. This app needs the L.

The ADDA will initially be implemented over four years. From January 2020 until July 2021, some 140 students will enrol in a 10-week course in six cohorts (24 students per cohort) gaining a Certificate in Drone Technology (CDT) from Virginia Polytechnic Institute and State University, commonly known as Virginia Tech upon successful completion.

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Virginia Tech is partnering with the Malawi University of Science and Technology (MUST). International “flying faculty” will travel to Malawi from international partner universities throughout the year and are supported by ADDA local instructors during the lectures. Through this co-teaching approach, the local instructors will learn the curriculum on-the-job, and subsequently, be able to deliver the training themselves. Virginia Tech has the responsibility to ensure that the accreditation of the certificate and Master’s degree is of international standards and approved and recognised by the Government of Malawi and the Malawi Department of Civil Aviation.

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CDDT Level 1 is a 5 week online course that is divided into 2 modules as follows:Data module- The first 3 weeks cover data analysis; GIS fundamentals, data types & co-ordinate systems, multispectral sensing, introduction to computer vision and machine learning, advanced spatial analysis methods, data ethics etc. Different mapping applications e.g. agriculture, disease control, emergency response, flood modeling, infrastructure management etc.Drone module- In the 4th & 5th week, students are introduced to unmanned aerial systems; flight physics, aircraft performance, propulsion systems, aerostructures, payloads, flight operations, wireless communications etc.Entrepreneurship- In the middle of the cohort there is an entreprenuership workshop that imparts student with the knowledge to start their own businesses.

CDDT Level 1 graduates receive:

i. CDDT Level 1 Certificate issued by Virginia Tech & Furman University
ii. Trusted Operator Program (TOP) Level 1 Certificate issued by AUVSI

Note that ADDA is currently the only TOP training provider outside of the USA

Applications are now open to citizens of African countires. Everyone is encouraged to apply but priority will be given to those who will be 18 to 24 years at the time the cohort starts. Cohort 4 is tentatively scheduled to run from 11th January – 12th February 2021. Deadline to apply for CDDT 1, Cohort 4 is Friday, 11th December, 2020, 23:59 CAT. Applications will be reviewed on rolling basis.

If you have any questions or concerns please email us at [email protected] or text us on WhatsApp

Published at Wed, 02 Dec 2020 05:26:45 +0000

The British government recently mounted a rush surveillance operation over the English Channel in response to a sudden surge in illegal immigration from continental Europe. The government was fortunate it could draw upon highly professional air crews and modern maritime patrol and transport aircraft to launch such an operation at very short notice. But the use of big, expensive aircraft such as the A400M Atlas and P-8A Poseidon to spot small pleasure boats with a few people aboard highlighted a problem that has afflicted Britons since the days of William the Conqueror: how do you keep an eye on what’s going on in the Channel without bankrupting yourself?

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Any nation with maritime borders to protect faces the same problem. The coast and adjoining sea areas are potential highways for people and drug smugglers, for terrorists and even foreign invaders. You can’t respond effectively to what’s out there unless you actually know what’s out there.

Which is why today’s convergence of sensor and platform technologies is exciting for maritime security agencies. One of the simplest and cheapest templates for cost-effective aerial surveillance is based on a lightweight Unmanned Aerial Vehicle (UAV). The US Coastguard has developed a remarkably cost-effective capability built around Sentient Vision Systems’ ViDAR (for Visual detection and Ranging) mounted on the 28Kg Insitu ScanEagle UAV.

ViDAR, the world’s first passive, persistent, wide area, optical radar, has a proven detection rate for human head-size objects in the water of 96%, even in Sea State 6. That makes it essential for Search and Rescue (SAR) missions, and for policing and security missions. Many law-breakers deliberately use small wooden, GRP or rubber boats with a very small radar cross-section. Some threats consist of swarms of small, fast, stealthy boats. Detecting and tracking these using a conventional radar and EO/IR sensor is difficult and time-consuming, at best, and frequently impossible. ViDAR makes a vital difference.

ViDAR consists of multiple fixed, high resolution cameras with a combined Field of View of 180 degrees. An aircraft or UAV equipped with ViDAR can surveil a sea area up to 300 times faster than a similar aerial platform using traditional visual search techniques.

One small ship could easily carry a single ViDAR-equipped UAV. But there’s no technical reason why a ship or a shore base couldn’t launch and control multiple UAVs, especially when an emergency demands a rapid surge in surveillance effort. An airborne network of ViDAR-equipped UAVs and manned aircraft working cooperatively could conduct an immediate search very quickly and then mount a persistent effort for as long as a specific contingency requires. Between them, this airborne network would create and maintain a detailed Common Operating Picture (COP) across a substantial sea area, such as the Straits of Dover or the Florida Keys, at a fraction of the hourly cost of using larger manned maritime patrol and surveillance aircraft.

The hardest working humans in such a scenario wouldn’t necessarily be airborne: they’d be operators in a ship or shore base, monitoring data feeds, managing searches and providing Man In The Loop (MITL) flight and operational safety. Integrating separate sensor feeds from multiple airborne platforms to compile a detailed and accurate COP would be the job of an AI-enabled mission system.

Sentient Vision Systems points out another advantage of ViDAR: its low Size, Weight and Power (SWAP) demands. Equipping a UAV or manned aircraft becomes a relatively simple task – any aerial asset can become a SAR or surveillance asset quite rapidly. From large aircraft down to a hand-launched UAV, ViDAR is flexible enough to fit any platform.

ViDAR has been installed aboard a number of UAVs along with small manned aircraft such as the Piper Cub, Cessna 172/182, Twin Otter and Beechcraft Baron. It can use whatever power supply is available on the aircraft and the bandwidth requirements are much lower than for a streaming EO/IR sensor, so ViDAR is also data link agnostic. And because converting aircraft and UAVs to carry ViDAR is quick and easy, converting them back at the end of a lease period or charter is equally quick and cost-effective.

This all changes the economics of maritime surveillance significantly.

Maritime patrol has traditionally depended upon a persistent presence by a manned aircraft or helicopter with a battery of RF and optical sensors and search and navigation aids. But the COP consists only of what each aircraft can see so it is at best a small, detailed part of a bigger, more complex picture.

This change in the economics of surveillance means that it is becoming possible to mount a persistent airborne surveillance effort across a specific sea area, and to compile and then maintain a detailed COP across a wide area of interest at an affordable cost. Meanwhile, manned aircraft can be launched in response to specific contingencies: a suspected criminal or hostile act, or a rescue, rather than being airborne on a semi-permanent basis.

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The savings in hourly running costs and wear and tear on airframes and engines is immense. The fatigue inflicted on human crews is also reduced significantly, while the recruitment and training effort changes as well: fewer aircrew and less aircrew training, more ground-based UAV operations and mission management. The result is a hybrid maritime patrol network offering important savings in manpower and equipment whilst increasing surveillance capability. That’s a good outcome.

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Published at Wed, 02 Dec 2020 05:14:16 +0000





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