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NapDetect is an AI-powered safety application targeted at users who want to stay alert and safe while driving.
BitAnimate, an innovator of cutting-edge software technologies, wanted to address the issue of distraction and drowsiness while driving, which is a major cause of accidents. They knew their 3D modeling expertise could be used to prevent accidents and save lives, and they needed a development partner to translate the 3D modeling into an app using computer vision.
Build a geo-spatial social-mapping app for 3 distinct user groups with 5 distinct goals.
Detects distractions and signs of drowsiness
Tracks facial movements and head positions in real time
Alerts users when drowsiness is detected
Facial detection only work at very specific angles and camera positions
Low-end devices suffered performance issues
To align with our new development goals, we first needed to identify the shortcomings of the previous app to avoid repeating past mistakes. These two aspects were essential in ensuring the core functionality of the app delivered an excellent user experience.
Providing expert advice on implementing AI, machine learning, and computer vision to improve safety on roads and highways.
Building and deploying a tailored software solution.
Utilizing machine learning to analyze and track facial movements and head position in real time.
Enabling the app to "see" and interpret visual information from the user's camera.
We followed a thorough and systematic AI development process to design and code NapDetect. Here are the steps they followed:
Expert AI Consultation & Discovery: Defined goals, strategy, and feature set with the BitAnimate team.
Data Strategy, Collection & Preparation: Gathered and prepared data on facial movements and head positions associated with drowsiness and distraction. Mapped out the machine learning and computer vision development steps required.
Custom AI Model Development: Built and optimized the AI model, including computer vision, to accurately detect drowsiness and distraction.
Integration & Deployment: Published the NapDetect app to the App Store and Google Play.
Support & Continuous Improvement: Provided ongoing monitoring and improvement of the app's performance.
AI / ML
Platform
iOS
AndroidBackend
Working side-by-side with BitAnimate, Mobcoder successfully developed and launched the NapDetect app. The app leverages AI and advanced computer vision to help users stay alert and safe while on the road. Initial testing and reviews proved extremely positive. Due to Mobcoder’s diligent work, NapDetect exceeded the client’s expectations.
While a user is driving, the app continuously monitors the user's facial expressions, movements, and head position to detect signs of drowsiness or distraction. The app calibrates itself to each individual user for maximum effectiveness.
The app provides alerts to the user when signs of drowsiness or distraction are detected, helping drivers take corrective action.
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