AI and ML Powered Water Surveillance System App

Seeing what they could do with AI was shocking! The underwater surveillance app has been a game-changer for our diving expeditions. The real-time AI-powered threat detection and depth monitoring provide us with a newfound sense of safety and confidence while exploring underwater environments. The seamless integration with our waterproof gear and the timely alerts through our AirPods have made it an essential tool for both professional divers and recreational snorkelers. We highly recommend this innovative solution to anyone serious about underwater safety

Fred Berkly

Client Overview:
A forward-thinking marine technology company sought to enhance underwater safety for scuba divers and snorkelers through an AI-powered mobile app. The goal was to provide real-time threat detection, monitor depth changes, and identify marine life, with the app integrating seamlessly with underwater cameras and delivering audio alerts through waterproof ear pieces.

 

Challenge:

  • – Ensuring accurate detection of underwater threats via the camera system that alerts through the app, such as predatory marine life and hazardous depth changes
  • – Providing real-time alerts in challenging underwater conditions with minimal latency
  • – Developing an app knowing that it will live 100% in a waterproof case with a dependency on reporting from external underwater cameras
  • – Maintaining reliable connectivity and performance while submerged at depths of up to 30 meters

 

Solution Provided by AIHugger:
Our team at AIHugger developed an AI-driven underwater surveillance app designed to enhance diver safety and provide real-time insights. The project was executed through several key phases:

 

1. Research & Discovery:

  • – Conducted extensive research on ways that the app can render marine threats coupled with depth monitoring technologies, and underwater signal transmission
  • – Consulted with marine biologists to understand marine life detection process capabilities & how AI could support the extensiveness of marine life
  • – Identified waterproof case specifications and underwater connectivity limitations
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2. UI/UX Design:

  • – Designed an intuitive interface optimized for underwater visibility and interaction
  • – Integrated visual and haptic feedback mechanisms for divers with different needs
  • – Developed an alert system that sends signals via audio cues to waterproof ear pieces from the app

 

3. Mobile App Development:

  • – Built a cross-platform mobile app compatible with iOS and Android devices
  • – Integrated real-time data processing from underwater cameras and sensors that reports back into the app
  • – Developed offline functionality to ensure uninterrupted operation even without connectivity

 

4. AI & ML Integration:

  • – Implemented AI algorithms to identify potential threats, such as sharks, with over 85% accuracy
  • – Deployed depth monitoring AI models to alert users when rapid depth changes occur
  • – Trained machine learning models using vast datasets of marine environments

 

5. Hardware Compatibility & Testing:

  • – Ensured seamless integration with waterproof phone cases rated for up to 30 meters of submersion
  • – Tested connectivity and performance under varying underwater conditions
  • – Rendered the model for extensive field trials with professional divers and snorkeling enthusiasts

 

Results:

  • – Predicted 80% reduction in diver-related incidents due to early threat detection
  • – Predicted 90% improvement in diver confidence and situational awareness
  • – Predicted 50% increase in underwater exploration efficiency with AI-driven insights
  • – Enhanced user experience with audio-based safety alerts and real-time monitoring

 

Conclusion:
AIHugger successfully delivered an AI-driven underwater surveillance app that empowers divers with real-time threat detection and safety alerts. The seamless integration with waterproof accessories and AI-powered insights makes it an essential tool for underwater exploration.

 

Technologies Used:

  • – AI/ML: TensorFlow, OpenCV, PyTorch
  • – Mobile Development: React Native, Flutter
  • – Underwater Hardware: GoPro, custom depth sensors
  • – Connectivity: Bluetooth Low Energy (BLE), Offline data caching
  • – Security: End-to-end encryption, secure cloud storage

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