Al.ko

application service for transportation Company

We partnered with a transportation company to create an innovative app that ensures driver sobriety before they begin work, promoting safer roads. The solution uses neural networks to analyze photos for signs of alcohol or drug influence, connecting seamlessly via Bluetooth to deliver real-time results.
  • Location EU
  • Industry LOGISTICS
  • Team Size 4 PEOPLE
  • Duration 1.5+ YEAR
  • Budget 100K+
Case mobile app interface

Challenges

Al.o app mockup
  1. Ensuring seamless integration of each alcometer into the platform, maintaining performance and data accuracy across diverse systems

  2. Implementing a reliable liveness check for user identity

  3. Integrating AR to assess sobriety levels in real-time

  4. Delivering a functional MVP within tight timelines

Solution

To address the challenge of integrating alcometers, we developed a feature that ensures compatibility across devices, providing seamless, real-time alcohol consumption tracking. This offered users a reliable and efficient way to monitor their sobriety levels.

Then, we implemented advanced biometric and facial recognition technologies to ensure accurate liveness checks, enhancing security and user experience while preventing fraud in real-time interactions.

Thus, by leveraging AI and augmented reality, we created an innovative AR-based solution that accurately assesses sobriety levels in real-time, offering users a smooth and non-intrusive experience.

Al.ko application

our input

  • mobile Solution architecture

  • Project management

  • Android 
 development

  • Ios development

  • Quality Assurance

App functionality

Al.ko app
  • Detection

  • liveness check

  • AR Kit

  • Push notifications

  • Alcometers

  • ML barcode

how we did it

  • Sobriety Detection Accuracy

    We achieved a 99.9% accuracy rate for sobriety detection using alcometers, ensuring reliable and precise results for users, regardless of device or environment.
  • Faster Identity Verification

    Through the integration of advanced liveness checks and biometric systems, we doubled verification speed while maintaining high accuracy and security standards.
  • Real-Time Sobriety Monitoring

    Using AI-powered AR technology, we developed a solution to assess sobriety in real time, providing users with a seamless and non-intrusive experience.
  • STREAMLINED User Experience

    We implemented a centralized system for alcometer and AR tool management, allowing users to easily access and operate all features efficiently.
  • AI-Driven Insights

    Our smart algorithms delivered tailored feedback, enabling users to better understand their sobriety trends and improve decision-making.
  • SCALABLE ARCHITECTURE

    The platform was built on a robust, scalable infrastructure, ensuring seamless operation and the ability to support future innovations and growth.

Technologies
we used

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    Swift

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    Core Location

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    CoreBluetooth

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    AR Kit

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    Kotlin

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    Jetpack Compose

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    Firebase

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    SwiftUI

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    Crashlytics

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    Google Analytics

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    AVFoundation

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    Vision

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    MLKit

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    CameraX

Project Development Process

  • MVP creation

    Conducted in-depth market and competitors research. Focused on building core functionalities, ensuring seamless alcometer integration, accurate liveness checks, and real-time AR sobriety assessments.

    1
  • MVP release

    Launched the initial version to early users, gathering critical feedback on usability, reliability, and overall user experience to refine the product.

    2
  • further development

    Expanded features based on user insights, optimized algorithms for accuracy, and introduced additional integrations to enhance performance and scalability.

    3
  • Maintenance and Support

    Provided continuous updates to address bugs, improve performance, and ensure system stability while offering dedicated user support for a seamless experience.

    4

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