Developers are demanded from clients the generation of tools that can ease down their tasks. In this case it`s about automatic processes to upkeep cars and vehicles in good shape, and lengthening their lifespan.
If the request is to streamline vehicle inspection processes, the most important thing for the developer to keep in mind when it comes to vehicle inspection is that it is a crucial part of a vehicle’s life cycle. It`s essential to get the vehicle inspected regularly so as to make sure one´s vehicle is safe, secure and economical.
Regular vehicle inspections are required by law. However, only an expert mechanic can understand the inspection results. This is why many people turn to vehicle inspection decoder APIs. These tools provide easy-to-understand information about vehicle’s inspection results. They also report which parts of a car need to be repaired or replaced. Thus, developers generate vehicle damage detectors to simplify the process automatically. This article recommends Vehicle Damage Detector API.
When you are considering the best time to inspect a vehicle, it is important to remember that different inspections are required at different times in the lifespan of a car: on purchasing a vehicle; yearly inspections to ensure that a car continues to run safely and efficiently without risk of causing crashes; on selling or trading in a vehicle, and on many other occasions.
In addition, having a car inspected regularly will help prevent any small problems before they get too big to settle. For example, if a small crack is noticed in the windshield, the best action is to have it replaced before it spreads and causes more damage. By conducting regular inspections will allow to catch any potential problems early and prevent them from becoming more serious.
How Can An API Help With This?
An API can help with this by providing information on the vehicle’s condition and its components. This information can be used by the mechanic to determine what repairs are needed and how much they will cost. This will allow the mechanic to give an accurate estimate of the cost of repairs before they begin work on the vehicle.
Vehicle Damage Detector API is able to detect and estimate the damage a vehicle has, categorize the damage and determine its severity. By just sending an image-supported format to the API (png, jpg/jpeg, tiff and bmp), it will return the detected damages, their coordinates, damage types, and damaged car parts.
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.
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.
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 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"
}