AI Powered Cell Phone Inspection | Inspektlabs
Inspektlabs automates manual cellphone inspection through a screen crack detection app. The app records videos and images captured by the customer and analyzes them to identify damages and label them.
Mobile phones have become a lot more than a communication device. They are our 24x7 companion, source of entertainment, and sometimes, even a status symbol. Given its multi-disciplinary applications, competitive consumer electronics pricing, and increased purchasing power, individuals are more willing to spend a considerable sum on their phones. And where there is a high-value commodity involved, insurance comes at play.
Insurance companies are currently offering coverage for one of the most common types of mobile phone damage - screen damage. These policies often cover new and used phones and offer protection from accidental or liquid damage. However, before extending this insurance policy, the insurance provider carries out a comprehensive cellphone inspection, as they would in case of any asset.
Are there ways to digitize and streamline the inspection? Can one incorporate technology in the cellphone inspection process to make it immutable and data-driven? Let’s check it out!
Traditional Cellphone Inspection: How it Works
Typically, cellphone inspection and issuance of insurance involve the following steps:
- Screen test to identify any internal damage to the screen.
- Physical test to locate any external scratches or damages.
- Report creation for the screen test and physical test.
- Forwarding of the report to the insurer.
- Vetting of the report.
- Follow-up inspection/self-declaration (optional).
- Valuation and policy formulation.
- Payment and signing of policy.
- Settlement of claims, if any.
As one can see from above, the process involves an inordinate amount of human intervention at several stages. This human element offers excellent potential for vehicle inspection automation, which is what Inspektlabs aims to achieve.
How Can Artificial Intelligence Help With Cellphone Inspection?
Inspektlabs automates manual cellphone inspection through a screen crack detection app. The app records videos and images captured by the customer and analyzes them using AI-powered damage detection technology to identify damage and label it. This AI photo and video capture process helps standardize evidence collection before automated analysis, reducing manual effort and improving inspection consistency.
Depending on the nature of the damage, it can be classified as:
- Screen cracks
- Scratch
- Body damage
- Flashlight
- Fake hair crack
These findings are auto-populated into a report and forwarded to the insurer for generating the insurance policy.
Read more about our vehicle capture guidelines to see how AI-guided photo and video capture improves inspection quality in automated vehicle inspections.
Advantages and Limitations of AI-Powered Cellphone Inspection
The swift and simplified inspection process by itself is one of the greatest advantages of the methodology. Another factor that tips the scales in favor of this technology is its data-based approach, making it less susceptible to errors and fraudulent activities. This data-driven approach can also help insurers detect potential fraud and validate damages more effectively.
However, some common challenges experienced by this technique (and their possible solutions) include:
- Inability to differentiate between a crack on the screen and that on tempered glass. To mitigate the risk of erroneous damage spotting, the app can detect whether the phone carries tempered glass protection and reject such cases.
- Presence of fine obstruction, such as hair, that gets detected as cracks. We leverage the learning and trainable capabilities of AI to detect hair cracks and label them as such to avoid false detection.
- Flashlight glares, making damage undetectable. In some instances, the app may also experience issues while recording media in low light conditions, recording screens with intricate wallpapers, or where the screen is on/off when it should be otherwise. One can offset such issues by training the app to reject such cases.
Future Prospects
AI-powered cellphone inspection offers vast potential for mass adoption of the concept. AI-powered inspection workflows are already improving vehicle assessments through 360° video capture, making remote inspections faster and more reliable. By recording the vehicle in a single continuous walkaround, AI receives complete visual coverage, helping improve damage detection accuracy while reducing inspection disputes.
It will bypass the need for physical, manual reviews and reduce the cost per inspection. Most importantly, it acts as a self-learning module that will continue to grow with higher usage. As it finds widespread application, its database will grow and evolve, thereby enhancing its capabilities.
InspektLabs is realizing this futuristic technology and making it available to all. Contact us to know more!
Frequently Asked Questions
1. Can cellphone inspection be embedded into an insurer’s existing mobile app?
Yes. An insurer can embed an AI-powered cellphone inspection workflow directly into its existing app rather than asking customers to use a separate inspection application. Inspektlabs supports API and native-app integrations, allowing the inspection flow, image or video capture, and damage assessment to become part of the insurer’s existing digital journey.
2. How does AI-powered cellphone inspection work for insurance?
The customer captures images or video of the phone through a guided inspection workflow, and the AI analyzes the media to identify and classify visible damage. Inspektlabs’ cellphone inspection solution can identify issues such as screen cracks, scratches, body damage, flashlight glare, and hair-like cracks, then automatically populate the findings into an inspection report for the insurer.
3. How does AI handle glare and reflections when inspecting a phone screen?
Glare can make screen damage difficult to assess, so the inspection workflow can identify unsuitable capture conditions and reject or request a better capture. Inspektlabs’ approach includes training the AI to recognize problematic conditions such as flashlight glare, low light, and unsuitable screen displays, helping ensure the images used for damage assessment are appropriate.
4. How does AI-powered screen damage detection work?
AI-powered screen damage detection analyzes phone images or video to identify visible defects and classify them according to the type of damage. In Inspektlabs’ workflow, the model can distinguish screen cracks, scratches, body damage, and hair-like cracks, and the results are automatically added to the inspection report for further insurance processing.
5. How can insurers scale phone inspections for large numbers of policyholders?
Insurers can scale phone inspections by replacing manual inspection steps with a standardized digital workflow that customers can complete themselves. AI-powered cellphone inspection software can capture the evidence, analyze it automatically, and generate structured reports, allowing insurers to process more inspections without increasing manual review at the same rate.
