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Recognize vehicles,
not just detect them.

Introducing a revolutionized recognition system powered by

NEURAL NETWORK AND DEEP LEARNING

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Are you a part of the 72% of traffic professionals who are struggling with these traffic management nightmares?

  • Struggling from unreliable data used for strategic decisions
  • Exhausting and inefficient installation, programming, and maintenance
  • Recurring accidents and traffic congestion from human error
  • Loss of major investments caused by wrongly predicted data
  • Inefficient response to citizens’ traffic needs and issues

With Cyclops, we strive for the latest and most accurate system for traffic detection AND RECOGNITION. Its AI-powered technology eliminates these everyday headaches that traffic engineers have to deal with.

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Spot-On Recognition Over Detection

Our intelligent traffic recognition system offers the same state-of-the-art technology employed in autonomous vehicles. Cyclops’ large field of view camera ensures optimal functionality and reliability for full intersection control.

WHY CYCLOPS IS BUILT FOR YOUR SUCCESS:

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SUPERIOR DATA ACCURACY

Guarantee accuracy for opportune traffic predictions and mobility, ensuring your projects stay on schedule, and giving you extra resources to improve other areas of your business.
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CONTROL OVER YOUR INTERSECTION - 24/7/365 WITHOUT INTERRUPTIONS

Imagine the increase in automation level in your city and drastic reduction of accidents and commute times for the citizens.
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ADAPT TO CHANGING NEEDS

As reliable as it already is, Cyclops can be further upgraded with a signal optimization solution - code|GREEN. It accommodates additional capabilities for seamless data collection, timing plan creation, and intersection control. With that, expect a quick response from our customer service with every step along the way.
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COST AND LABOR EFFICIENCY

Eliminate time-consuming tasks from the manual collection of TM counts to sifting through data. Install and maintain your system with ease and minimal time and effort.
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REAL-WORLD ACCURACY THANKS TO CNN
(Convolutional Neural Network)

Tech giants such as Google, Nvidia, IBM, Apple, Amazon, and Tesla, have invested heavily in this technology as it accomplished impressive results in mapping pixels from the camera input for autonomous vehicles.
They know it’s the future.
Are you going to fall behind?
Optimize your traffic program now with such exceptional and mission-critical technology.
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ALMOST AS APT AS THE HUMAN MIND

A circle denotes a neuron. During training, millions of images are fed to the neural net and trained to recognize vehicles/objects. Once trained, the neural net can recognize objects in an image.

IMPERATIVE PRECISION

Autonomous vehicles need 100% accurate object recognition and classification. They leave no opportunity for inaccuracy, preventing 90% of fatal traffic cases. These tech giants used billions of images to train the CNN model to come up with a superior image recognition system.

CYCLOPS is a plug-and-play solution that utilizes the same AI technology that’s taking the automotive industry by storm.

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“With deep machine learning we can improve predictability. Metropolitan mobility managers can then make faster and more informed decisions on signal timing, suggested routing to system users, and capacity allocation.”
William Chernicoff
Head Of Research And Innovation| Toyota Mobility Foundation
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“CNNs not only give the best performance compared to other detection algorithms, they even outperform humans in cases such as classifying objects into fine-grained categories…”
Hijazi, S., Kumar, R., Rowen, C. (2017).
Using Convolutional Neural Networks for Image Recognition. Cadence Embedded Neural Network Summit.
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“As we develop vehicles that can communicate with infrastructure, such as connected vehicles, and detection technologies that can see where the vehicles are, we can use artificial intelligence to make decisions about signal timing in real-time in order to develop a much more efficient traffic signal.”
NVIDIA

Interested In a Pedestrian Recognition System?

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THE RISING GIANT BEHIND THIS NEXT-GENERATION VEHICLE RECOGNITION VIDEO SYSTEM

Rhythm Engineering Solutions holds 5 patents and continues to invent new and disruptive products, including CYCLOPS, that revolutionize the industry. It is owned and headed by a well-recognized inventor and entrepreneur, Dr. Reggie Chandra. The company operates in 3000 intersections in 160 cities in 32 states and positively impacts over 7,500,000 motorists daily.
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It’s Time for A Monumental Upgrade
to Your City’s Traffic System
TALK TO OUR EXPERTS