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Hennecke Fleet Consulting


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AI automatic damage detection: Use Cases

Automatic vehicle inspections and damage detection using AI (artificial intelligence) is required in many use cases:

  • Used car management/ remarketing: Determine damages and repair cost that lower the price when buying or selling a used car

  • Car rental and mobility providers: Check In/Check Out at Vehicle handover: Are there any new damages on the car when the driver returns it?

  • Fleets and pool cars: When drivers frequently change: Which driver caused a new damage on your vehicle?​

  • Insurance: How big is the damage after an accident? Are there any damages on a used car when underwriting a new insurance contract?

  • Leasing vehicle return: Determine which damages are normal wear and tear, and which damages will result in extra payments to the leasing company

  • Vehicle logistics: When you transport cars: When did a damage happen to a vehicle? Who is responsible?

Technology: Automatic damage detection

A variety of suppliers are on the market that provide AI based solutions for automatic vehicle inspection and damage detection. They can be clustered by the technology they use and the use case where the focus on:


  • Portal vehicle scanners: Pictures are taken from fixed installed cameras, usually taking pictures from the side, top and underbody of the vehicle. Advantages are usually high quantities of vehicles scanned per hour, as usually pictures are taken while vehicles drive through.

  • Rotating turntable vehicle scanners: Pictures are taken from a camera while the vehicle is turning on a rotating platform. Advantage is usually a very high quality of pictures; downside is the low speed to process the vehicles.​ 

  • Mobile solutions: Inspections are done by taking pictures with a smartphone or table PC. Main advantage is the low cost of hardware, while still the quality of pictures with nowadays devices is sufficient for AI analysis.

  • Non-camera technology: Some vehicle scanners use additional technology, e.g. surface curvature and reflectivity. Advantage is the additional way to detect damages that are potentially not detected by image analysis. Downside is an increased cost for this technology.

AI (artificial intelligence) / functionality :

  • Vehicle types: Systems typically handle passenger cars (sedan, hatchback, SUV), some suppliers also work with vans, pickup trucks and trucks.

  • Detected damages: The AI (artificial intelligence) typically detects scratches and dents on the surface of the vehicles. In addition, some systems can also detect damages on alloys and wheels, broken windscreens, differences in color of the parts, and gap dimensions. Some systems can analyze the underbody of the car. An analysis of the vehicle interior we have seen nowhere yet, but some suppliers are working on this.

  • Generic vs. make/model: A key differentiator is whether the AI is based on specific make/model information or is generic. In the first case, specific information is required to be uploaded to the system before, while in the second case the AI works on a bodystyle-level, which means no specific make/model data is required.

  • AI quality: While one should expect that all suppliers of automatic vehicle inspections/ damage detection use AI (artificial intelligence), one should check carefully what is behind it. The key criteria is the quality of damage detection, which differs significantly. In some cases, systems rely still on manual assessments from remote assessors, while others are fully automated.

  • Processing time: Processing time varies between 1 minute per inspection and up to 15 minutes. This is mostly dricen by the power of the AI and the need for manual corrections. Important driver is also the number of pictures taken: Some systems require several hundred pictures, which slows processting time down.

  • Cost calculation: Basically two ways exist to estimate the repair costs: Either the system is integrated with third party data providers like DAT, gtMotive,... This enables exact cost calculations based on standard labour values, parts prices etc. Downside of this is an additional cost for the data provider. Alternatively, systems can calculate costs based on an internal database. This is usually less detailed, but can be sufficient for some use cases.

  • Before/after comparison: Some systems offer the feature to compare pictures of a vehicle at different points in time. E.g. pictures of the car when leaving in the morning, and when returning in the evening. The AI automatically detects additional damages that happened in the meantime.

  • Further detections: Some systems offer to also automatically detect more information like VIN, number plate, mileage from the odometer or information from vehicle papers.

  • System integration: Differention criteria is whether the supplier is able to provide an own App or user interface and/or is able to integrate into existing systems of the customers, like vehicle inspection systems, dealer management systems, pricing tools, used car management systems or trading platforms.

  • Interior: Often requested is the functionality to automatically detect damages of the interior of a vehicle. So far, no systems are available with this feature, but some suppliers are working on it.

Further criteria:

  • Number of inspections performed: Because automatic vehicle inspection/ damage detection is a relatively new technology, an important criteria for evaluation of suppliers is, how many inspections have they done so far. Experienced suppliers already do several ten-thousands inspections per month and have a AI-database of several million pictures.

  • System flexibility: While some suppliers come from a very specific nice and are focussed on specific use cases, others have more flexibility in use case. This means they e.g. allow to use different hardware setups at the same time in different locations, or combine different product features.

Supplier overview: AI automatic damage detection

An overview over suppliers of systems for automatic vehicle inspection/ damage detection is listed below (non-comprehensive list).

  • AdvanoSys: Fixed scanners only, USA based

  • AIActive: Fixed scanners only, focussed on safety and traffic, Egypt based

  • Autoscan: Web application from Pixelconcept, integrated into their well established car dealer management software

  • ClearQuote: Initially a smartphone solution, now also with fixed scanners; India/UK based. Real customers with +0,5 million inspections per month! 

  • DeGould: Fixed scanners only, UK based

  • Gatekeeper: Fixed scanners only, coming from traffic inspections, from USA

  • ProovStation: Fixed vehicle scanners from France

  • RavinAI: Fixed scanners and recently also mobile App, North America

  • RealSpections: Fixed scanners, Israel based

  • Tchek: Initially fixed scanner, now also with some mobile functionality, from France

  • TÜV Rheinland Adomea: Fixed vehicle scanner with cameras and other analysis technology, from Germany

  • TÜV SÜD DVS: Fixed vehicle scanner from Germany

  • Twinner: Fixed vehicle scanner with rotating platform, from Germany

  • Two Tronic: Fixed portal vehicle scanner, Germany

  • Uveye: Fixed vehicle (UV - under vehicle) scanners from Israel

  • WeProov: Mobile inspection solution from France

Our services: Consulting regarding AI damage detection 


We help you to select the best supplier for AI based automatic vehicle inspection and damage detection. Our consulting services comprise:

  • Analysis of your company specific goals, processes and existing other technologies used

  • Market overview: Overview over systems for AI automatic vehicle inspections / vehicle scanners

  • Selection: Identification of suitable suppliers, tendering, negotiation, cost planning, pilot-phase.

  • Implementation of new AI system

  • Supplier management: Definition of SLA/KPI and continuous quality control. 

CONTACT US directly so we can define how to help you.



Based on our experience in the remarketing, vehicle inspection and fleet management industry we recommend ClearQuote AI based automatic vehicle inspections.


We see ClearQuote as a market leading solution that fits the use cases of many companies of various industries.

We support ClearQuote in their market activities in Europe.


  ​ClearQuote Features:

  • AI based vehicle inspection/ damage detection

  • Passenger cars, SUV, pickups, transporters, box-vans, bicycles

  • Works with simple smartphones and fixed vehicle scanners

  • Realtime quality check while taking the pictures 

  • Detects damages: dents, scratches, wheel/ alloy damages, broken parts, broken screens

  • Identifies new damages by comparing pictures now vs. previous time (check-in/check-out)

  • Calculates repair costs, based on internal data or via integration to 3rd party database

  • With own IOS/Android-App, or integrated into your systems via API

  • Additionally reads out VIN, numberplate and mileage


  • Real paying customers: Over 500.000 inpections per month!

  • References:  OEM vehicle manufacturer, insurance, leasing & fleet management, claims handling, vehicle inspection, tranporter fleets, car rental  

ClearQuote customers


In November 2022 ClearQuote won the PIP Startup Innovation Award of the Postal Innovation Platform (PIP), sponsored by Swiss Post, Austrian Post and the Parcel+Post Expo. ClearQuote also won another aard in the category of "Processes, Digital & Data"

Postal Innovation summarizes: "ClearQuote's solution is ... smart, facilitates the work and processes of postal and logistics providers considerably, and also shows a sound and proven concept". See more info in this video

In February 2022 ClearQuote was announced the winner of the DHL Middle East Fast Forward Challenge.

DHL states: "ClearQuote is a mobile application utilising cutting edge technologies to conduct fast, reliable and transparent vehicle damage assessments and maintenance valuing, using smartphone images and computer vision."

CONTACT US directly in order to get a free online demo of the ClearQuote system!

Find best solution for automatic damage detection!

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