It is no secret that fraud is one of the most common problems in the insurance industry. It is estimated that up to 20% of all claims are fraudulent. This means that, on average, each insurer loses up to $1 million a year in fraud-related costs. This is mainly due to the fact that it is very easy for people to lie about how an accident happened and what the damage was. This can be done by either faking the accident or by overstating the amount of damage done.
Insurance brokers and adjusters surely resort to developers to devise tools that can identify damage, locate it on the car, and even assess the expenses to fix the car. Vehicle damage detectors are essential for all of them.
Unfortunately, this problem is not just limited to individuals trying to get money from their insurance company. Insurance companies themselves have been known to commit fraud as well. We all know too well how frustrating it can be to pay out fraudulent claims. Not only do these claims cost time and money, but they also tarnish the reputation as a reliable insurer. Vehicle Damage Detector API is the most recommendable software for the purpose.
This API can help quickly and easily identify whether or not a claim is valid. In addition, it can also help detect fraud among employees. Vehicle Damage Detector API works by comparing images of the vehicle before and after an accident and looking for signs of damage without the need of human direct observation. If it finds any, it will then provide a list of all the damages that need to be repaired. It’s one of the most user-friendly and affordable options to reduce fraud.
It also furnishes optimized service to ordinary people who buy a used car, as there are many things to consider. For instance, to make sure that the car is in good condition and that it doesn’t have any hidden problems. Rather than hiring a professional to inspect the vehicle, the API is the most reliable solution. These tools allow to easily detect any damage or defects in a vehicle’s body.
How To Use This Vehicle Damage Detector API
Vehicle Damage Detector API is easy-to-use and will allow to quickly identify any damage on a vehicle’s body. To use this tool, simply follow these steps: 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 640×480 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": "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"
}