Vision Safe
Founder

Naga Kaushik Jandhayala
As someone deeply passionate about technology and its potential to address real-world challenges, I'm embarking on a journey to transform this passion into a venture that makes a meaningful difference. My ongoing quest for knowledge and hands-on experience in the tech arena is the cornerstone of my strength, fueling my ambition to innovate and solve problems that touch lives.
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If you're intrigued and wish to explore this idea further, I invite you to step into the world of "Project Vision Safe" — a vision I'm eager to share and cultivate with like-minded individuals. I'm looking forward to the opportunity to connect with you and perhaps, embark on a transformative journey together.

About us
For a startup like us, the journey from a spark of inspiration to making a tangible difference rests on the crucial act of introducing a Minimum Viable Product (MVP) to our clients. This first version is much more than a prototype; it's the foundation upon which we build a deeper connection with our clients, nurturing growth and continuous improvement.
The thoughts and feedback we receive from those who use our product are incredibly precious—they are the heartfelt responses that guide us in honing and improving our product with each new iteration. This iterative process is not merely about fixing bugs or adding features; it's about deepening the understanding of client needs and the practical challenges they face. By actively incorporating this user-driven intelligence into our development cycle, our startup doesn't just build a product—we cultivate an ever-improving solution that grows in value and relevance.
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Developing this type of service holds intrinsic value for our startup. It allows us to expand our knowledge and expertise continuously, ensuring that with every update and new version, our product becomes more aligned with the market demands. Moreover, as we fine-tune our AI software, we open avenues to explore new use cases. Such versatility not only amplifies the utility of our offering but also fortifies our startup's position in the competitive landscape. The agility to evolve based on user feedback positions us not just as developers but as innovators and thought leaders in the realm of AI-driven solutions.

The Idea
Real-Time Accident Detection using current surveillance infrastructure to notify authorities.
Current systems
Accidents are identified and displayed in the current systems only when a person sees the accident and calls the emergency authorities to inform them about the incident.
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Using the caller's GPS coordinates the location of the accident is recorded to get the incident's location as accurate as possible.
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Law enforcement officials search the nearby surveillance cameras to investigate the incident further and notify the required authorities.

The Problem
High Response Time:
Delay in reaching incident spots due to lack of immediate information.
The Scope
Accident Detection:
Identify various accidents and improper road usage.
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Data Collection:
Save critical data for analysis, including accident frames, metadata, and model specifics.
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Notification:
Leveraging tools/services for reliable and prompt notification to emergency services.

The Solution

RTAD System:
Utilize Real-Time Accident Detection to identify accidents and irregular activities on the roads.
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Automated alerts are sent to nearby hospitals and police stations.