Developers who are looking for a comprehensive solution to assist their clients to find out the damage level of a vehicle, keep on reading to find useful recommendation.
Vehicle damage detection is a crucial component of the self-driving car ecosystem. This is because it enables the user to identify whether a vehicle has been damaged in an accident and whether the damage is severe enough to require assistance. There´s a multiplicity of fields in the vehicle business that benefit from these tools.
Vehicle Damage Detector API detects, locates, assesses and appraises all the damages and render a detailed report. It can be uses to get all the information one needs to know about the vehicle. Moreover, it is easy to use without the need of expertise. It furnishes a comprehensive solution for those who have to deal with damaged vehicles. This tool will help get all the information you need to make a report or to know what to do to fix the vehicle in time, before the damage is too big, more expensive to repair and less safe.
This API will detect dents, broken lights, cracked windows, or any other kind of damage, both structural and mechanical. This makes of this application a comprehensive solution for users in the vehicle business and subsidiaries: insurance, manufacture, car dealership, repair workshops, car marts, car auctions, tow truck companies, fleet transportation, and ordinary users who want to make sure the car they buy or sell is in roadworthy condition.
How Does Vehicle Damage Detector API Work?
There are two main methods that a vehicle damage detector API uses to detect vehicle damage. The first is by using ML algorithms to analyze images of vehicles and identify any signs of damage. The second is by using AI algorithms that can detect specific types of vehicle damage. Both methods are accurate, and they`re constantly trained. However, both methods are useful for detecting vehicle damage and can be used together to create a more comprehensive solution.
Vehicle Damage Detector API can be useful for a number of purposes, as listed above, and
can help keep track of which vehicles need repairs and which ones are ready to be picked up by their owners. This can save a lot of time and money, since it would be difficult to keep track of all of this information by hand. Also, thie API guarantees ease of use as it works by just inputting an image for it to return all the necessary information.
How Does This API Work?
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:
{ "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 }