IMGING® is an insurance-specific solution for automating drone-based property inspections and streamlining insurance workflows. It consists of drone hardware that is controlled by web and mobile software and is built on a cloud infrastructure for data processing, storage and transport. IMGING software (web and mobile) handles things like job creation and management, flight planning and the generation of inspection reports. The IMGING mobile app also executes autonomous inspections on site. IMGING feeds the results of these inspections directly into underwriting and claims workflows to allow insurance companies to make better decisions, faster.
No. IMGING is a toolset that insurance companies, independent adjusters, and contractors use to greatly simplify property inspections. Many of our partners are drone service providers that use IMGING in the course of their routine activities. If you’re looking for help with drone service providers, we can help.
Yes. In the field, the IMGING app needs to retrieve job details and flight plans from the IMGING server, as well as report on job completion. This means that each tablet must have cellular connectivity.
Put simply, computer vision allows a machine to see and understand things the way people do. This tech lets a computer gather data through sensors, cameras, and other data capture tools, then with the help of AI and deep learning, use that information to come to some sort of conclusion. For instance, the system could take a photo of a car and using pattern recognition, understand that the image is of a car. This technology, combined with AI and Deep Learning, allows a drone-based data capture solution to find objects, damage, and more, all by itself.
To put it simply, artificial intelligence is exactly what it sounds like: intelligence demonstrated by a machine. With AI, a machine is carrying out a complex task or calculation and mimicking cognitive thought. A simple example of AI would be a computer playing chess.
Deep learning is a specific approach to machine learning. With this approach, artificial intelligence is focused on solving problems. Basically, you’re building a computer system that can make decisions. At its core, deep learning involves providing a computer system with lots of data. Collected together, this data allows the computer to make decisions about other data. And so, you’re giving a computer the ability to interpret patterns and identify “things” (e.g. is this or is this not a hail hit). Deep Learning requires specific systems, workflows, and approaches to allow a computer to make recommendations about data.
Regulatory and Compliance
- Be over the age of 16
- Obtain a remote pilot airman certificate
- Keep a UAV within your line of sight
- Maintain control over UAV operations
- Keep UAVs out of no-fly zones and controlled airspace
- Conduct pre-flight checks and ensure adequate maintenance
- Fly a UAV that is under 55 lbs. including cargo
- Fly at or under 100 mph
- Fly only during daylight or twilight
- Fly no higher than 400 feet or within 400 feet of a structure
- Respect privacy