FST-7 Traffic Signal Controller: Revolutionizing Urban Mobilty

At COCO AI, we are proud to introduce the FST-7 Traffic Controller, a groundbreaking solution poised to transform urban transportation management. With a relentless commitment to innovation, safety, and sustainability, FST-7 represents the future of intelligent traffic control.

Key Features:

1. Adaptive Control Algorithms: FST-7 employs cutting-edge adaptive control algorithms that continuously analyze real-time traffic data. This enables the system to dynamically adjust traffic signal timings, reducing congestion and minimizing travel times for commuters.

2. Enhanced Safety: Safety is our top priority. FST-7 incorporates advanced detection technology, prioritizing the protection of pedestrians and cyclists. By accurately identifying and responding to vulnerable road users, FST-7 enhances road safety for all.


3. Energy Efficiency: We believe in sustainable solutions. FST-7 integrates energy-efficient components that reduce both operational costs and environmental impact. This eco-conscious approach aligns perfectly with the global push for greener transportation.


4. Data-Driven Insights: FST-7 provides real-time traffic data and actionable insights, empowering transportation agencies to make informed decisions. This data-centric approach enhances traffic flow optimization and future planning.


5. Customization and Scalability: Recognizing that each urban environment is unique, FST-7 is highly customizable, allowing for tailored solutions. It is also scalable, accommodating urban growth without sacrificing efficiency.


Why Choose FST-7?


FST-7 isn’t just a traffic controller; it’s a comprehensive solution for modern traffic management. With its advanced technology stack, safety focus, sustainability features, adaptability, and proven success, FST-7 is poised to revolutionize urban mobility. Join us on this journey toward smarter, safer, and more sustainable transportation.

Discover how FST-7 can transform your city’s traffic management system and improve the quality of life for residents and commuters alike. Together, we’re shaping the future of urban mobility.

"Navigating Cities Towards a Smarter Tomorrow"


Smart Navigation For Emergency Vehicle

Emergency vehicles (EVs) like fire trucks, ambulances, and police vehicles have the highest priority on roads to respond to an incident. To ensure free and uninterrupted travel for EVs along its route to the incident location, traffic signal controllers deploy preemption strategies, benefiting those EVs.
The IEVP( Intelligent Emergency vehicle Preemption system) is an application server where it does tasks such as finding the intersections along the route, the stage and finding the approximate time the EV reaches the intersection by taking the traffic into consideration. When implemented it will be having improved response time and less crash rate. This proposed model is different from the present EVP due to less component and lower cost compared to other EVP systems.




The Future of shopping or the next gen shopping. The self-service store uses smart retail innovations. The automated stores include facial recognition technology, payment pathways that automatically recognize items that are leaving the store with RFID technology, sensors and surveillance cameras that use algorithms to draw insights from the flow of customers.



Today’s new motor vehicles have technology that helps drivers avoid drifting into adjacent lanes or making unsafe lane changes, or warns drivers of other vehicles behind them when they are backing up, or that brake automatically if a vehicle ahead of them stops or slows suddenly. These and other safety technologies use a combination of hardware (sensors, cameras, and radar) and software to help vehicles identify certain safety risks so they can warn the driver to act to avoid a crash.
The continuing evolution of automotive technology aims to deliver even greater safety benefits and the coming years will witness automated driving systems that can handle the whole task of driving when we don’t want to or can’t do it ourselves.
Here at COCO AI, we build the future of autonomous driving by implementing new ideas and technologies. Working on Level 4 automation and scaling it to level 5 automation in the coming years. Researching on LIDAR technology to make it more feasible and cost friendly.