To make sure that one´s driving a roadworthy car that will not fail and crash, it`s necessary an advanced check-up to guarantee the safe condition of the vehicle, not just for the individual-s safety but also for the expenses and economic consequences of an accident.
Vehicle damage detectors are an appropriate starting point for developers to devise tools that can assist their clients in the field of insurance, car dealing, car rental or merely individuals who need an easy and fast way to scan cars for damage to guarantee their safety.
Vehicle Damage Detector API is a new tool that allows to detect any type of damage -both mechanical and structural- in a vehicle. This API uses AI and ML to detect all kinds of damage, from the scan of the URL of the image of a vehicle. The API will then process the images and return a list of all the damages that were detected, even those minor ones that are not visible to the human eye.
Benefits Of Vehicle Damage Detection API
This can be very useful in the case of a fleet of vehicles or to sell insurance. One can use this API to detect any damage before selling/buying a vehicle or before granting an insurance policy, to make sure of the kind of coverage and how much it will cost.
Another benefit of this API is that it is very fast and accurate. It can process multiple images at once and return accurate results in just a few seconds. It can even detect minor dents and scratches on vehicles so you don’t have to worry about paying for unnecessary repairs. What is more, this API is very easy to use and to integrate into any systems. It is compatible with most programming languages and it also has an easy-to-use user interface to get started right away.
Finally, this API is very affordable and offers many different plans to meet any needs. It also has a no-charge plan to try it out before making the decision to subscribe.
This Vehicle Damage Detector API is perfect to create an application that detects vehicle damage. This API saves time and money by detecting damage before making any repairs or paying for any claims. It`s good for all vehicles: cars, motorcycles, trucks, RVs, and other vehicles. It also works great with both damaged vehicles and undamaged vehicles.
Features Of Vehicle Damage Detection API
Vehicle Damage Detector API uses cutting-edge artificial intelligence technology to analyze each pixel in the image and determine whether or not it is part of a damaged area. This allows you to quickly and easily detect damage on a vehicle without having to physically inspect it yourself. Vehicle Damage Detector API also allows to specify the type of vehicle. This allows to target specific vehicles based on their type and make.
How Does This API Work?
Vehicle Damage Detector API is perfect for insurance companies who want to save time by detecting damage before making any repairs or paying for any claims. It`s a more sophisticated method for assessing the extent of damage to vehicles.
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": [ 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" }