An RAV drone can capture images of property to be insured quicker than a human inspector, the same property can be revisited in case of a disaster to estimate the extent of damage. This reduces the turnaround time on claims.
The detailed aerial imagery gathered by RAV can be used for risk management, to quantify risk, recommend design changes to mitigate risks, evaluate property damages and pinpoint damaged sections and speed up the response time when disaster strikes.
RAV’s ability to capture precise imagery data both in daylight and in night time with photographs providing centimeter accuracy. RAV can play a pivotal role in locating problems in the systems that are vital to our daily lives.
RAV drone can run inspection sorties under all capacity loading and be a game changer in predictive maintenance and capacity planning of all kinds of installations. The visual data can aid in railway transportation, oil and gas installations, wind and solar installations, water canals and dams, air quality and weather monitoring.
RAVs can provide GIS professionals with tools to help identify property boundaries, subdividing land, surveying construction sites, estimating mineral deposits, with the right tool they can also help produce topographic and hydrographic maps.
An RAV drone, when assisted by GNSS-RTK can pin point locations with great precision and reliability. Surveyors can work with a more qualitative datasets, which makes it possible to conduct better, more thorough planning.
An RAV drone can be fitted with multi-spectral sensors to analyses crop health and soil conditions precisely and accurately. NDVI data in combination with other indexes can provide valuable insights into crop health and provide actionable information.
RAVs can gather inputs to generate high resolution orthomosaics which is the foundation for precision farming, these inputs can be used to differentiate soil from grass or track crop growth stages, compaction, storm damage, estimate yield and provide valuable data for weather analysis.
Within a short duration an RAV drone can take hundreds of pictures that can be stitched together to large and high resolution orthographic maps. These orthomaps can be integrated with GIS and used to improve forest management, operational planning and monitor illegal activities.
The vast amount of data that can be captured using an RAV can provide forest metrics such as carbon sequestration, tree canopy analysis, conservation features, tracking native species, monitor biodiversity and encroachment.
The intricacies of planning, designing and supervision of large scale infrastructures such as smart cities, bridges, railways networks, dams or roads can be simplified with a friendly eye in the sky of an RAV.
RAVs can address the complexity and improve efficiency of designing and executing new infrastructure projects. This can lay the groundwork for post-disaster assessment of critical infrastructure. An RAV drone can collect real time traffic information when combined with GIS information can provide insights into new infrastructure planning and execution.
Aerial patrol by RAVs can detect hot-spots in an emergent situation and assist in scaling a disaster, it can reduce the time to respond.
RAV drones can prove vital in rapidly mapping the affected area and can be critical in optimizing rescue resources and unclog logistical bottlenecks. RAVs can reach places that are inaccessible by conventional means of transport, this can also be used to provide essentials for life support.
An RAV mounted hyper-spectral sensor can gather high resolution data, this reliable data can be used for monitoring a range of environments, for example to monitor mine sites and contaminated lands. This is an invaluable for environmental evaluation and change analysis.
There is a significant advantage to using RAVs for atmospheric monitoring, this approach can reveal spatial complexity that is often missed by ground based measurements. RAV can be used to capture transient events.
Airframe Material : Carbon fiber and Aerospace Aluminium
Configuration : Quadcopter X
Motor to Motor (Diagonally) 555 mm
Height 220 mm
Propeller 12″ Nylon/Nylon Carbon
Weight 1650 gms
Payload Bay Area 100 mm x 100 mm x 100 mm
Controller : ARM Cortex M4
Sensors :Accelerometer, Gyroscope, Magnetometer, Barometer
Interfaces :PWM, I2C, UART, GPIO, CAN, USB, SD Card
Positioning : GPS and Compass
Safety Switch, LED, Buzzer
Power port : 5V at 3A and 12V at 3A
Motors : Brushless DC
Propellers : 12″ Carbon Reinforced/Nylon/ABS
Landing Gear : Fixed