Developers who need to devise tools for their clients to detect and monitor vehicle damage with one simple integration, should keep reading to find interesting recommendation. Vehicle damage is a common occurrence, and can result in significant losses. It can also be difficult to detect, especially if the damage is minor.
First and foremost, here´s a quick review to get acquainted with vehicle damage detection and monitoring. This is the process of identifying and tracking damage on vehicles. This can be done using a variety of methods, such as visual inspection, acoustic inspection, and/or vibration monitoring. There are today digital tools powered with AI to perform the process programmatically and automatically: vehicle damage detectors.
Vehicle damage detection and monitoring can be used for a variety of purposes, such as identifying and reporting damage to vehicles, locating damage on the car, tracking vehicle damage over time, and even predicting the lispan of a vehicle. Vehicle Damage Detector API is an application to render this service that offers accuracy and ease of use, as it can be integrated in one simple step.
An API for vehicle damage detection and monitoring allows to access all of the features of any type of system without having to build it from scratch. This is great because it will save time and effort. It will also ensure that the system is up-to-date with the latest technology in the field. This way programmers can do their job with ease, making it simpler for their clients to use the tools provided.
How To Detect And Monitor Vehicle Damage With One Simple Integration Using VDS
By simply inputting the URL of an image of the car to be inspected, the API will respond with a thorough report of any damage, both mechanical and structural, even those injuries that are not visible to the human eye, including bumps, dented parts and scratches. The application will also appraise the spare parts needed and the repair works involved.
The API uses cutting-edge technology to scan vehicles for damage, and then provide detailed reports on the damage. These features make of Vehicle Damage Detector API the most useful tool for the purpose. It´s at disposal for Insurance companies, auto repair shops, car auctioneers, car leasing, fleet transportation of vehicles and second hand marts. Likewise it`s appropriate for individuals to be certain about the condition of one´s own car, or to monitor the condition of a car they buy.
In the field of insurance, one can use it to track the number of claims filed against a particular make and model of vehicle. This can be useful for identifying trends in vehicle safety. You can also use the API to track the number of claims filed against specific insurers. This can be useful for identifying potential areas of concern in an insurance company’s claims handling process.
How To Use This API
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:
{ "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 },