Developers who are looking for a starting point to devise tools for their clients that need to detect vehicle damage easily should keep on reading to find the most reliable recommendation.
An AI-based vehicle damage detector can determine the condition of a vehicle to manage insurance and transportation of vehicles, so as to avoid conflicts deriving from fleet eventual damage, that can be troublesome for the vehicle owner, for the sea liner and for the insurance company. This tool is also useful for official inspectors that must approve the condition of a vehicle to be transported.
Vehicle Damage Detector API is the most recommendable tool for many purposes: basically for security for damage identification; for legal matters, to make sure the vehicle is not used for illegal or dangerous activities; for governments agencies to monitor traffic conditions and unsafe vehicles on the road. It`s also a tool for cargo inspection of vehicles on loading and unloading. Developers will find it of prime relevance to develop their own apps to identify vehicle damage as per their clients´ requests.
There are several different types of AI-based vehicle damage detectors available, but they all work in basically the same way. By uploading an image one gets a thorough report that will serve a purpose to insurance companies -for example- to determine that the report of the condition of a vehicle at loading matches that performed on unloading, and if there´s damage, how much compensation is due.
Why Is Vehicle Damage Detector API So Important?
First, it can help reduce the amount of time and money spent on insurance claims. This is because it can quickly identify any damage on a vehicle, which would otherwise have to be done manually by an insurance adjuster. Also, it can help ensure that eventual claims are accurate. This is because it can automatically detect any signs of fraud or misrepresentation in an insurance claim. It has a wide range of features that make it easy to use and powerful, both for professionals and for personal use, especially for fleet managers.
How Does This API Work?
To be able to detect and estimate the damage a vehicle has the best choice is Vehicle Damage Detector API, which categorizes the damage and determines its severity. It works by just sending an image-supported format to the API (png, jpg/jpeg, tiff and bmp), and it will return the detected damages, their coordinates, damage types, and damaged car parts.
Counting on a subscription on Zyla API Hub marketplace, just start using, connecting and managing APIs. Subscribe to Vehicle Damage Detector API by simply clicking on the button “Start Free Trial”. Then meet the needed endpoint and simply provide the picture of the product. Make the API call by pressing the button “test endpoint” and see the results on display. The AI will process and retrieve an accurate report using this data.
It`s advisable to keep the input image under 5MB, between 2000×2000 and 640×480in resolution for a more accurate response. To avoid longer process times it´s recommended not to use higher resolution images. For best damage detection, it’s recommended to take a close picture of the area, approx. 80cm – 1.5m when taking the picture.
If the input is “draw_result”: true,
“image”: “https://i.insider.com/54da54336bb3f7156eeef89e?width=800&format=jpeg”, the result will look like this:
{ "draw_result": true, "job_id": "52af644d-03c9-46c8-ab8c-c486fc432ade", "output": { "elements": [ { "bbox": [ 372, 145, 489, 245 ], "damage_category": "slight_scratch", "damage_color": [ 50, 50, 100 ], "damage_id": "1", "damage_location": "rear_bumper", "score": 0.613146 }, { "bbox": [ 322, 411, 444, 481 ], "damage_category": "slight_scratch", "damage_color": [ 50, 50, 100 ], "damage_id": "1", "damage_location": "rear_bumper", "score": 0.602163 }, { "bbox": [ 403, 300, 487, 391 ], "damage_category": "slight_scratch", "damage_color": [ 50, 50, 100 ], "damage_id": "1", "damage_location": "right_rear_tire", "score": 0.422464 },