Developers who need to devise tools for their clients in insurance activities, must find the best starting point available. It´s the insurance companies that are concerned about the accuracy of damage reporting, which has traditionally been performed -rather slowly and inaccurately- by human inspection.
Vehicle damage detection is the process of identifying and classifying the various components of a vehicle as a consequence of a crash. This can be done using computer vision, which is the use of artificial intelligence to identify and classify objects in images.
The components of a vehicle can be identified using computer vision techniques, i.e. by using a camera to capture images of the vehicle, and then processing the images using machine learning algorithms. Vehicle Damage Detector API can identify the damage, locate it on the car, assess the severity of the damage, and estimate the costs of repair. It`s of outmost relevance for insurance companies to determine how much compensation to pay for insurance claims.
Benefits Of Using A Vehicle Damage Detector API
There are many benefits to using a vehicle damage detector API. For one, it can save time. An API can help identify and repair vehicle damage sooner, which means spending less time dawdling around with a potentially dangerous consequence. Also, it can save money on unnecessary repairs since the damage can identify and repair only the damaged parts.
Also, an API can help improve customer service by providing more accurate information about vehicle damage. This will surely result in happier customers who are more likely to spread the word of their satisfaction.
Vehicle Damage Detector API is powered by AI, which means it will continue to improve over time. Also, it is easy to use and integrate into any existing systems. It guarantees accuracy and efficiency, which make of it a reliable tool. Likewise, other features are it´s ease-of-use, celerity of response and simple integration within any system or applications.
How To Use This API To Detect Vehicle Damage
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://cdn.pixabay.com/photo/2017/09/08/04/29/crashed-car-2727666_640.jpg” the response will look as follows:
{
"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
},
{
"bbox": [
404,
311,
491,
383
],
"damage_category": "severe_scratch",
"damage_color": [
0,
0,
120
],
"damage_id": "2",
"damage_location": "right_rear_tire",
"score": 0.497413
}
]
},
"output_url": "https://vpai-demo-portal-shanghai.oss-accelerate.aliyuncs.com/vehicle-damage%2Fdraw-134451.7685_20220804134451.jpg?OSSAccessKeyId=LTAI5tGgUWzx5gZopTcAvNtp&Expires=1659620752&Signature=V3JNzNARJx8PvRclb1DB%2Bb4Dgw8%3D",
"url_expiry": "2022/08/04 13:45:52"
}