Used Car Inspection and Damage Detection
Guided photo capture and damage detection for used-car evaluations, with panel-wise damage maps, odometer and chassis checks and draft refurbishment items for evaluators to confirm.
- Industry:
- Automotive & Mobility
Who it is for
- Head of Pre-Owned Business
- Procurement and Evaluation Manager
- Certified Pre-Owned Programme Lead
- Refurbishment Manager
The problem
Dealers, used-car platforms and auction houses evaluate cars at customers' homes, exchange desks and procurement yards, usually with a checklist and phone photos. The quality of that evaluation decides the purchase price, the refurbishment bill and whether the next buyer trusts the listing.
Grading varies by evaluator
Experienced and new evaluators grade the same scratch or dent differently, which shows up in procurement prices and listing quality.
Damage found after purchase
A repainted panel or cracked bumper bracket missed at evaluation becomes an unplanned refurbishment cost.
Disputes over pre-existing damage
Without a clear photo record, sellers, buyers and logistics partners argue over when a dent appeared.
Wrong car, reused photos
Photos of a different vehicle, or reused from an earlier listing, slip through when nobody checks the chassis number on the image.
What we build
We build a guided inspection flow for your evaluation app. It walks the evaluator or seller through a fixed set of angles and close-ups, checking blur, glare and framing before each photo is accepted. Vision models then segment the car into panels and detect scratches, dents, cracks, rust, misaligned panels and colour or gloss differences that suggest repaint. The odometer and the chassis number are read from photos and compared with the RC details. Each finding is marked on the image with a severity grade and mapped to refurbishment line items from your parts and labour rate card. The evaluator confirms or corrects findings before the report reaches pricing.
- Guided capture with live checks for blur, glare, distance and framing
- Panel-level detection of scratches, dents, cracks, rust and misaligned panels
- Colour and gloss mismatch cues that suggest repaint, for confirmation with a paint thickness gauge
- Odometer and chassis number reading compared with RC details
- Duplicate and reused photo detection across past inspections
- Draft refurbishment line items priced from your parts and labour rate card
How it works
- 01Guided captureThe app guides the evaluator through the required exterior, interior, odometer and chassis number photos.
- 02Quality checkEach photo is checked for blur, glare and framing, and failed shots are retaken on the spot.
- 03Detect and grade damageModels detect damage by panel and grade severity on your grading scale.
- 04Check identityOdometer and chassis number are read from photos and compared with the RC, and photos are checked for reuse.
- 05Evaluator reviewLow-confidence findings and any RC mismatch go to the evaluator, who confirms or corrects them.
- 06Report and estimateThe inspection report and draft refurbishment estimate go to the pricing team and the DMS.
Architecture
- Capture
- Mobile capture app with angle guide
- On-device image quality checks
- Upload API
- Vision models
- Panel segmentation
- Damage detector and severity classifier
- Odometer and chassis number reader
- Duplicate image matcher
- Business rules
- RC data comparison
- Grading scale rules
- Parts and labour rate card mapping
- Review and integration
- Evaluator review screen
- Inspection report generator
- DMS, pricing tool or auction platform API
Inputs and outputs
Inputs
- Guided exterior, interior, odometer and chassis number photos
- Optional walk-around video
- RC details from the document or an authorised vehicle data provider
- Paint thickness gauge readings entered by the evaluator
- Your grading scale and parts and labour rate card
Outputs
- Panel-wise damage map with marked images
- Inspection report in your format
- Draft refurbishment line items
- Odometer, chassis and duplicate-photo flags
- Image archive linked to the vehicle record
Where people stay in control
The evaluator confirms damage grades and every identity mismatch before the report is final. Purchase price and offers are set by your pricing team, and structural, flood and engine checks remain physical inspections.
Integrations
- Dealer management system
- Used-car pricing tool or auction platform
- Authorised VAHAN-based vehicle data provider
- CRM for seller and buyer records
- Cloud storage for the image archive
Guardrails
- Does not set prices or certify roadworthiness
- Asks for a retake rather than grading a poor photo
- Every finding marked on the source image
- Structural, flood and engine condition left to physical checks
- Seller details on RC images access-controlled and masked in logs
Compliance notes
- Owner details from RC images are personal data and are handled under the DPDP Act 2023.
- Vehicle registration lookups are made only through authorised channels for VAHAN-based data.
A typical pilot
Duration: 4 weeks
One procurement hub or dealer exchange desk, running the guided flow alongside the current evaluation for hatchbacks, sedans and compact SUVs.
Deliverables
- 01Capture guide and grading scale agreed with senior evaluators
- 02Pilot app flow with damage detection
- 03Evaluator review screen
- 04Agreement report against senior evaluator grades
- 05Roll-out and integration plan
What we measure
- Damage detection agreement
- System findings compared with a senior evaluator's grading of the same cars.
- Damage missed at evaluation
- Damage found at refurbishment that was not recorded at evaluation, split by what the system and the evaluator each caught.
- Retake rate
- Share of photos rejected by quality checks, by evaluator.
- Inspection time
- Time per evaluation with and without the guided flow.
FAQs
01Can it detect accident history or flood damage?
Only visible cues such as panel gaps, repaint signs or rust patterns. Structural damage, flood exposure and engine condition need a physical inspection, and the report says so.
02Does it work outdoors and in poor light?
The guided flow checks every photo and asks for a retake when glare, shadow or darkness hides the panel. We tune on photos from your evaluators across different lighting during the pilot.
03Can sellers use it for self-inspection?
Yes. The same guided capture can run in a seller-facing app, with an evaluator reviewing findings remotely before any physical visit.
04Can it plug into our existing evaluation app?
Yes. The capture guide and models can be added as an SDK or called through an API from your current app, so evaluators keep their familiar tool.
Related use cases
- Automotive & Mobility
RC, Insurance and PUC Document Extraction
Extract and cross-check registration, chassis, owner, hypothecation and validity details from RC, insurance, PUC and fitness documents for used-car, fleet and onboarding teams.
- Automotive & Mobility
Number Plate and Document Capture at Service Centres
Read number plates at the workshop gate, pull up the appointment and history from the DMS, and capture walk-around, dashboard and document photos into a pre-filled job card.
- Insurance
Motor Claim Damage Assessment from Photos
Detect damaged panels and damage types from guided claim photos, check them against the workshop estimate and pre-inspection images, and give surveyors a structured evidence pack.
- NBFCs & Lending
Vehicle and Asset Inspection from Photos for Auto Loans
Check vehicle and equipment photos for used-vehicle, tractor and commercial vehicle loans: read chassis, engine and plate numbers, match them to RC and invoice, and flag damage and reuse.
Founded by Akhilesh Mittal. 8 years building a security platform for a New Zealand company. IIT ISM Dhanbad and IMT Ghaziabad. Builds production agentic AI.
Pick one showroom, workshop or claim queue to start
Book a discovery call and we will scope a short pilot on your own photos, documents or call recordings, with the measures agreed up front.