Tavcom Training, part of the Linx International Group has responded to requests from the security industry, for expert training in order to be better prepared for and mitigate against the threat of Unmanned Aerial Systems (better known as drones). Dates for the two-day Drone Detection classroom-based course will take place throughout 2019 and early 2020.
In late December, the UK was alerted to the impact of a drone attack, when suspected sightings resulted in 1,000 flights from Gatwick Airport being cancelled. Then, weeks later Heathrow also suffered a minor drone-related disruption. The financial and logistical impact on the airport, airlines and travellers (approx. 140,000 in the case of the Gatwick incident) was immense, with current reports putting the cost to the aviation industry at between £50 - £70 million.
“The responses to the airport drone attacks were played out in the spotlight, with much public debate regarding the seeming lack of a pre-defined plan of action to prevent or contain such an incident.” explains the Sales and Marketing Director at the Linx International Group, Sarah Hayward-Turton. “Last year we introduced our Drone Detection course and this year we will run it three times to give security professionals expert advice from experts in drone technology, to help mitigate risk and implement countermeasures to thwart unauthorised drone activity.”
The Drone Detection course covers the following key topics:
- Understanding Drone technology
- CAA Regulations
- Battery limits
- Drone threats
- Drone detection and counter measures
- Understanding Radio Frequency (RF)
- Drone mitigation
- Tools available for jamming, radar ballistic and capture
- Practical demonstrations
The course will take place on the following dates:
- 13th – 14th March 2019
- 8th – 9th May 2019
- 5th – 6th November 2019
- 11th – 12th February 2020
The classroom course costs £375+VAT and results in a Tavcom Certificate. For more information and to register for the course visit: https://www.tavcom.com/training-courses/cctv/drone-detection/