We are proud to present to you our crown jewel - SeekRight® Road - a state-of-the-art, AI-based video analytics machine learning solution. SeekRight's patent-pending software is trained with our proprietary computer vision algorithm that records and analyses all assets on the highway. Our AI engine is customized to achieve optimal efficiency without the need for CAPEX.

Features

  • Custom configured
  • Identification mode
  • Night mode
  • Dashboard mode
  • Chainage mapping
  • Geo Fencing
  • Detects 100 assets and counting with the ability to customize
  • REAL-TIME processing & Analysis
  • Survey Accuracy

Portfolio

Case Studies

1. Challenge

The current process to maintain road assets in INDIA is time consuming since it is done manually.

Considering the amount of time and energy spent for this process, their results were not accurate and many times incomplete. Some assets were missed out or not identified effectively due to the manual nature of the process.

Additionally, there were way too many illegal shop and structural encroachments. Many locations did not even have streetlights which was extremely dangerous to the lives of citizens where criminal activity would be prevalent. Excess MUD and Water stagnation on the roads were hazardous to the bikers leading to skids. Potholes and caracks were too visible in remote.

These issues led to cause human lives.

2. Solution

SeekRight’s innovative solution using computer vision tracked more than 75 assets on the Indian roads. The immediate results gave a lot of insights and helped L&T in taking prompt decisions for maintenance activities and avoided penalties from the authorities.

Furthermore, SeekRight® has a solution for chainage mapping and asset tagging which will help them identify the specific location along the lengthy highways.

L&T wanted a solution that get the current status of the highway assets within the same day and initiate timely maintenance activity. That is when L&T approached SeekRight®.

3. Result

SeekRight® was able to address their pain points in the following ways:

Automated Process

Fast and Easy

Accurate

4. Conclusion

L&T’s automation adoption led to a clear bottom line increase as the number of manual process reduced drastically with an automated process oriented focus. As a result of this, they were now able to perform effectively predictive maintenance

1. Challenge

As is the case with any developing nation, the road infrastructure of Kazakhstan had taken the attention of the authorities. Issues such as snow accumulation and snow spillage on the roads was one of the many concerns as they wanted to efficiently check the process of snow clearance.

Maintenance of road assets, which led to heavy damage due to extreme weather conditions also posed a huge challenge.

Considering the amount of time and energy spent for its inspection, their results were not accurate. Some assets were missed out or not identified effectively due to the manual nature of the process.

Going through thousands of kms of roads manually meant considerable amount of time and energy to be invested. This added to their frustration.

Obviously optimal budget utilization was key in this.

2. Solution

Seekright’s solution addressed the problem of untimely snow clearance. This process was improved due to adoption of automation. Maintenance of the contracting arrangements became simpler.

Also, we were able to map all the Astana City's assets using our master data creation module which allowed them to track their assets conditions on the roads.

3. Result

SeekRight® was able to address their pain points in the following ways:

On-time

Predictive maintenance

Reduced Road accidents

Increased Safety

4. Conclusion

The solution increased transparency with actionable insights using our machine learning capabilities.

Greater accountability in the usage of the budgets which meant the diversion of the additional budgets to other developmental activities.