Great software, zero headaches
AI Car Damage Recognition
Take images with your smartphone and instantly detect dents, scratches, and minor body defects in vehicles. Our AI-powered car damage recognition solution makes it possible to activate insurance policies on the spot without any need for expert assessment. We guarantee that our approach will reduce your stress.
15+
Years
expertise
140+
Happy
clients
95%
Client
retention
Solve today’s challenges
Our clients
Remove risk at every step with car damage recognition
We simplify the car damage assessment process and enable car owners to easily and swiftly obtain insurance policies without extra stress.
Recognise a car
The system automatically assesses the car in the photo, its colour, model, and angle while also detecting any signs of damage. It also recognises whether the image was modified to prevent fraud, so you never have to worry about the details.
Severity of damage
With our solution, you can rapidly assess the car damage level and the location of the damaged components. It also identifies if the car has actual damage from an incident or just surface-level dirt.
Repair estimation
Our ML-powered car damage detection solution identifies patterns and trends in the cost of different types of repairs. So that, the repair costs are estimated accurately, and insurance policies are priced fairly, making life easier for you.
Get to value sooner
Insurance companies
By enabling the real-time detection of damage, we eliminate the need for expert intervention or travel to a physical location. Our solution provides a high level of precision, allowing insurance policies to be activated instantly and making it easier for car owners to obtain insurance coverage quickly.
- Fast and accurate damage assessment
- Improve signing speed and efficiency
- Decrease the level of fraud
- Promote customer satisfaction and loyalty
- Minimise costs and processing time
Car rentals
Streamline the vehicle inspection process, reduce the time and labour required for manual inspections, and improve the accuracy of damage assessment. Additionally, get valuable insights on the condition of the fleet to prioritise repairs and optimise your costs.
- Speed up the assessment process
- Decrease operational costs
- Increase retention rate
- Improved customer experience
- Optimise fleet management
Carsharing companies
Automatically detect any damage and flag it for repair. Save time and reduce errors, as well as ensure that all damage is properly identified and addressed.
- Safeguard rental process
- Streamline fleet maintenance
- Boost customer satisfaction
- Save costs
- Manage risks
Online car marketplaces
Valuable data on the condition and history of the vehicles listed on your platform allows you to better inform potential buyers and improve their overall trust and satisfaction with the marketplace, without unnecessary complexity.
- Accelerate listing process
- Encourage trust and transparency
- Ensure listed vehicle quality
- Save costs
- Increase efficiency
Why Altamira?
Transparency and trust
We build trust through transparency in the way that we communicate and consistent improvement in our processes and practices.
Deep technology expertise
As a zero-headaches software partner, we have a proven track record of pushing the boundaries of what’s possible with technology.
Tangible value in days, not weeks
Our streamlined development process ensures that you get the most value from your investment.
Case studies
People also asked
Machine learning is used widely for automated manual tasks. Using AI technologies and an algorithm framework, AI will be able to identify damaged components accurately and predict the extent of damage to the structure and determine repair costs and the total cost if necessary. It is possible to use image/video annotations of computers to train ML models. This ML model extracts analysis and provides insights that result in a quick inspection that is more accurate.
In training your Model Learning Machine for vehicle detection and assessments, the first step is selecting a highly qualified Training Data, followed by data analysis and segmentation.
Modern technologies allow the use of AI/ML with features such as Computer Visual Intelligence, Deep Learning, and Instance Segmentation to provide this service with high accuracy and a fast response rate to achieve desired goals.
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