Car auctions are one of the most popular ways to buy a used car. This is because they are a great way to get a good deal on second hand vehicles. However, one should be careful when buying a car from an auction, to be certain if the auctioned car has been damaged or not.
To make sure the purchased car is roadworthy the best tool is first to detect eventual damage and then have it reparired before driving it. To ease down the process of inspection and repair and avoid costly delays, the solution for developers is to devise digital vehicle damage detectors for their clients, whether ordinary users or car purchasers for their business.
Vehicle Damage Detector API can help quickly and easily identify any damage on a vehicle. This is of ultimate relevance if the vehicle is bought at an auction to make sure it is in good condition. This API guarantees accuracy, reliability, and above all a response in real time.
Vehicle Damage Detector API is AI powered, which adds efficiency to the tool, that can detect various types of damage in vehicles in just a few seconds. This API can process hundreds of images at once and detect various types of damage in them such as dents, scratches, or holes.
This API can detect mechanic and structural damage on both the outer and inner parts of the vehicle, as well as identify the cause of the damage. It’s easy to use and can save a lot of time and money when trying to assess the condition of a vehicle. This API is easy to use, with no restrictions on the times of use. It can be integrated in any website or application and start using it right away.
How To Get Started
Vehicle Damage Detector API is easy to use and there are many ways for you to get started with it. 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.
Be able to detect and estimate the damage a vehicle has. Categorize the damage and determine its severity. Just send an image-supported format to the API (png, jpg/jpeg, tiff and bmp), and 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.
If the input is https://i.insider.com/54da54336bb3f7156eeef89e?width=800&format=jpeg, the immediate response will look somewhat 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 },Developers and ultimately their clients, whether it`s about car buyers or auctioneers, will benefit from this thorough report to make sure the appraisal is accurate and reliable, and that the response will come in real time.