Developers -whose clients are in the field of insurance, car dealerships, car rental, transportation, or merely ordinary individuals with an interest in the condition of vehicles- need to find an effective starting point on which to develop tools to satisfy their needs.
For clients in the car business, vehicle damage is an issue. It can cost a lot of money to repair a vehicle, and it can take a long time to get the repairs done. In automotive plants the detection of a flaw and its rectification in time can avoid further issues. They need an automatic way for inspection and detection. This is when vehicle damage detection systems become necessary.
In the automotive industry, customer satisfaction is key. With an image recognition API, it´s possible to improve customer experience by providing them with a fast and efficient way to report vehicle damage. They need systems that can quickly and accurately detect damage on vehicles, then the relevance of Vehicle Damage Detector API.
This API is easy to use, which detects, identifies, locates and assesses damages, both mechanical and structural, even those that are invisible to the human eye, with an accurate response of easy interpretation. By simply uploading an image URL of the vehicle, the API will do the rest. In addition, it is very accurate and can detect any type of damage, including dents, scratches, and even broken lights. This is a simple way to automate damage detection in real-time, bearing in mind that a stitch in time saves nine.
How Can An API Help?
In all activities involving vehicles the task was trusted to inspectors whose fees were too high and whose reports were frequently inaccurate. An API can help automate the process of detecting and reporting vehicle damage, and making prompt decisions to repair it timely. In addition, an API can help save time and money by reducing the need for manual reporting and processing of insurance claims, for example.
Plus, the API can provide valuable data on vehicle damage trends, which can be used to improve claims process. Vehicle Damage Detector API is the easiest, most accurate, fastest and most reliable tool for the purpose.
An image recognition API can help automate the process of detecting and reporting vehicle damage and act correspondingly. In addition, an image recognition API will help save time and money by reducing the need for manual reporting and processing of claims. Plus, an image recognition API provides valuable data on vehicle damage trends, which can be used to improve claims process.
How To Start Using 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.
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 }