Developers who need to devise a tool for their clients in the insurance sector, with the aim of assisting them to improve their work, should read on to find interesting recommendation.
The insurance sector is not affected by the economic fluctuations, and all its branches are growing at a fast pace. If we take a look at the number of vehicles in the world, we see that there are more cars than people, and each year more vehicles are sold. This results in a growing number of accidents, which means that the insurance industry has to be there to cover damage expenses.
However, this also means that insurance adjusters have to spend time doing inspections to see what damage each vehicle has suffered in an accident for expenses apraisals. This is why the use of vehicle damage detectors becomes relevant.
What Is Vehicle Damage Detector API?
Vehicle Damage Detector API is an image-recognition system that allows to detect different types of damage and its location on a vehicle. This way, an insurance company can accelerate the procedure. This tool is very easy to use from any device at all. It has no restrictions and doesn´t demand expertise.
Vehicle Damage Detector API is an AI-powered tool that can detect vehicle damage in just seconds. This API automatically recognizes vehicle parts, their location on the car, and identify any damage they may have sustained. This means that one can quickly and easily identify which parts of the vehicle need to be repaired or replaced. It`s a useful software both for insurance companies and for specific mechanics who will be performing repair work on the car.
How Does It Work?
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.
Vehicle Damage Detector API: Advantages
This API has many advantages over other methods for detecting vehicle damage. First, it is fast and accurate; it can process images quickly and reliably to identify any damage that they may have sustained. Second, this API is user-friendly, so there´s no need of expertise. Third, this API is affordable; it has several plans available that are designed to meet everyone’s needs.
It`s advisable to keep the input image under 5MB, between 2000×2000 and 640×480 in 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": "7512d7a2-91f1-424c-a464-67c3662af438",
"output": {
"elements": [
{
"bbox": [
368,
150,
485,
242
],
"damage_category": "slight_scratch",
"damage_color": [
50,
50,
100
],
"damage_id": "1",
"damage_location": "rear_bumper",
"score": 0.569186
},
{
"bbox": [
331,
415,
439,
478
],
"damage_category": "slight_scratch",
"damage_color": [
50,
50,
100
],
"damage_id": "1",
"damage_location": "rear_bumper",
"score": 0.485635
},
{
"bbox": [
405,
311,
488,
381
],
"damage_category": "slight_scratch",
"damage_color": [
50,
50,
100
],
"damage_id": "1",
"damage_location": "right_rear_tire",
"score": 0.354201
},
{
"bbox": [
402,
309,
490,
382
],
"damage_category": "severe_scratch",
"damage_color": [
0,
0,
120
],
"damage_id": "2",
"damage_location": "right_rear_tire",
"score": 0.637032
},
{
"bbox": [
331,
415,
439,
478
],
"damage_category": "severe_scratch",
"damage_color": [
0,
0,
120
],
"damage_id": "2",
"damage_location": "rear_bumper",
"score": 0.41991
},
{
"bbox": [
369,
154,
468,
232
],
"damage_category": "severe_scratch",
"damage_color": [
0,
0,
120
],
"damage_id": "2",
"damage_location": "rear_bumper",
"score": 0.337978
}
]
},
"output_url": "https://vapistorage.blob.core.windows.net/vapi/vehicle-damage/draw-094355.422277-7512d7a2-91f1-424c-a464-67c3662af438.jpg?se=2023-04-21T09%3A44%3A55Z&sp=rt&sv=2020-10-02&sr=b&sig=JjCtxcqkh%2Bw3PX7BIeQPUwkjxZ7ncV%2BfpKYDVnnA290%3D",
"url_expiry": "2023/04/21 09:44:55"
}