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AI-Powered Driver Safety App Development

Bombay Softwares developed an advanced Driver Safety App that integrates AI, IoT technology, and edge computing to ensure rider safety in real-time.

The app utilizes object detection and helmet detection to monitor road conditions and potential hazards, ensuring compliance with safety protocols.

With a user-friendly setup and seamless, real-time alerts, this solution exemplifies tech modernisation in transportation safety, offering an essential tool for modern fleet management.

About AI-Powered Driver Safety App Development

They envisioned a Driver Safety Application featuring AI-powered mobile apps and IoT-based safety devices to monitor helmet usage, path adherence, and provide real-time safety insights.

Collaborating closely with the client, we developed a comprehensive driver safety app that integrates object detection, road identification, and real-time hazard alerts.

Built on a robust tech stack, including Android, Python, TensorFlow, and TFLite, the system ensures riders remain compliant with safety protocols while offering companies a reliable safety compliance tool. The app not only enhances safety but also supports tech modernisation in fleet management and regulatory compliance.

By combining affordability with high-quality development, the Driver Safety App offers a cost-effective solution for enhancing rider safety and ensuring regulatory compliance, while enabling our client to stay at the forefront of tech modernisation in the transportation industry.

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Challenges

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Solutions

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Ensuring accurate detection of helmets in various environments and lighting conditions.

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Implemented AI-based helmet detection that adapts to diverse environments using TensorFlow and TFlite.

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Seamlessly integrating object detection and road/path identification into a mobile platform for real-time safety updates.

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Built a robust object detection system that recognizes road and path deviations, ensuring riders remain on the correct course.

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Developing IoT-based safety devices that interact with mobile applications to monitor and alert riders without causing distractions.

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Developed and integrated IoT-based safety devices that monitor the rider’s surroundings and interact with the mobile application for driver safety in real time.

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In remote or high-speed transit areas, stable internet connectivity is a major challenge. Continuous data transmission to the cloud can be delayed or disrupted, affecting the performance of safety features.

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Implemented edge computing in the IoT devices, allowing the system to process and analyze critical data locally on the device. This ensures that essential features function effectively even without a constant internet connection

Results

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Enhanced rider safety through improved helmet detection and adherence to safety protocols.

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Reduced accidents by providing real-time alerts on proximity to other vehicles and potential hazards.

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Increased rider confidence and safety compliance with an easy-to-use mobile application and IoT-based safety devices.

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Core Features of Our AI-Powered Driver Safety App Development

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01

Helmet Detection

AI-powered detection to ensure rider compliance with helmet-wearing protocols.

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02

Object Detection

Real-time identification of objects and obstacles in the rider’s path.

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03

Road/Path Identification

Ensures riders remain on safe, designated routes.

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04

IoT Integration

Utilizes IoT-based safety devices for enhanced monitoring and real-time data processing.

Ready to Build Your Custom Driver Safety System?

Enhance rider safety with our Custom Driver Safety System Development services. Designed to suit your unique needs, our platform simplifies safety monitoring, providing smarter and more secure riding experiences.

Technology Stack We Used

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