Traffic Monitoring

Asura's Approach to Traffic Monitoring: Building the Future Today

The concept of urban areas that can sense, comprehend, respond to, and interact with real-world developments has captivated the human imagination for over half a century. Initially, these were largely abstract visions, as the technological pathways leading to their realization remained elusive.

However, the advent of AI suddenly unveiled the connecting steps, and within a mere span of 2-3 years, we have commenced the construction of elements of the prospective Smart City Ecosystem. Today, we are on a steep ascent, laying the groundwork for a complex future framework, while simultaneously grappling with the boundless possibilities unlocked at each step.

Here are some examples of AI application areas in urban settings:

Biometrical Access Control
Wanted Vehicle Tracking
Low & Zero Emission Zones
Congestion Charging
Micro Mobility Monitoring & Control
Public Transport Priority Measures

Asura Technologies is committed to assisting urban traffic operations in uncovering their inherent potential and bridging the gap between their current state and their future role within the Smart City landscape.

Traffic Monitoring

Asura's Approach to Traffic Monitoring: Building the Future Today

Challenge

Solution

The isolation of systems posed significant difficulties in data transfer.

The Asura Vehicle Recognition Unit, a robust and singular AI platform, boasts superior data accessibility. It is fully customizable and seamlessly integrates with other systems.

A substantial reliance on hardware made technological implementations prohibitively expensive.

The use of AI camera triggering negates the need for additional devices such as radars and laser scanners, thereby significantly reducing cross-calibration efforts and maintenance costs.

The quality of detection and recognition was inferior to that of the unaided human eye.

Our continuously trained deep learning algorithms function with the highest possible accuracy within intricate traffic environments, ensuring stable high performance under any external conditions.

Challenge

The isolation of systems posed significant difficulties in data transfer.

Solution

The Asura Vehicle Recognition Unit, a robust and singular AI platform, boasts superior data accessibility. It is fully customizable and seamlessly integrates with other systems.

Challenge

A substantial reliance on hardware made technological implementations prohibitively expensive.

Solution

The use of AI camera triggering negates the need for additional devices such as radars and laser scanners, thereby significantly reducing cross-calibration efforts and maintenance costs.

Challenge

The quality of detection and recognition was inferior to that of the unaided human eye.

Solution

Our continuously trained deep learning algorithms function with the highest possible accuracy within intricate traffic environments, ensuring stable high performance under any external conditions.

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