We announced today the acquisition of 3DOT Solutions Limited , a well-known UK cybersecurity consultancy and a certified supplier to the UK Armed Forces and Intelligence Services....
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INTRODUCTION: Your “how to” blog post should teach the reader how to do something by breaking it down into a series of steps. Begin your blog post by explaining what problem you...
Enhancing Traffic Safety and Accident Prevention
This use case focuses on projects dedicated to enhancing traffic safety and accident prevention, addressing a range of pressing challenges faced on the roads. Efforts are underway to combat the issue of speeding and reduce the frequence of road accidents. Portugal is grappling with the challenge of ensuring trains align properly with station platforms, enhancing safety for commuters. Meanwhile, other projects actively working on initiatives to reduce driver errors that often result in accidents, promoting safer roads for all. Other projects are tackling the problem of timely road damage identification and repair, aiming to minimize hazards for drivers. Additionally, Belgium for instance is developing strategies to effectively manage road conditions during winter, mitigating risks associated with slippery roads. Each of these projects contributes to the overarching goal of creating safer roadways and more secure transportation systems, ultimateyl striving for fewer accidents and smoother journeys for everyone.
Projects
Discover innovative solutions to make roads safer and journeys smoother.
| ID | Problem | Solution | AI Classification | Location |
| 001 | The roads get slippery in winter and it's hard to decided when and how much to spread salt to prevent this | A tool that helps keep roads safe during winter by suggesting when and how to spread anti-ice materials | Reasoning, Automated reasoning, Planning and Scheduling | Germany |
|
002 |
E-scooter riders have safety issues while riding in the city | Improving safety of small transport vehicles using computer vision | Perception, Computer Vision, Machine Learning | Germany |
|
003 |
People make mistakes while driving which can lead to accidents | An aid to make driving safer and more efficient by predicting and suggesting optimal actions | Perception, Computer Vision, Machine Learning | Germany |
| 004 | Roads get damaged and it's hard to find and fix the damage quickly | A tool that assesses road conditions to prevent damage | Perception, Computer Vision, Machine Learning | Germany |
| 005 | People drive too fast and have accidents on the road | Improving road safety by monitoring vehicle details and speed | Perception, Computer Vision, Machine Learning | Germany |
Enforcing regulations through remote monitoring
Enforcing regulations through remote monitoring
This use case tackles the challenge of enforcing regulations through remote monitoring, particularly in the agricultural sector. Farmers often struggle to meet the requirements for subsidies and have difficulty following complex farming rules. In Estonia, there's a recurring issue of determining whether grasslands have been mowed or not, which is crucial for maintaining the health of the ecosystem and ensuring compliance with agricultural regulations. Meanwhile, in the Netherlands, farmers are grappling with the challenge of spotting harmful organisms in their crops and preventing illegal deforestation. These projects aim to leverage AI to monitor these activities remotely, ensuring that regulations are adhered to and that farmers can effectively manage their lands. Each initiative represents a significant step towards more sustainable and regulated agricultural practices.
Projects
Discover the innovative ways countries are assisting their industries to comply with agricultural regulations.
| ID | Problem | Solution | Location |
| 695 | Farmers have difficulty knowing when to cut hay. | Solution for remotely checking if hay has been cut. | Estonia |
| 854 | Farmers have difficulty following subsidy rules. | Improve the quality of farm inspections for subsidy rules. | Germany |
| 4 |
Farmers might not meet the requirements to receive subsidies. |
Check if rules for getting help are followed using pictures from space. | Belgium |
| 24 | There is difficulty in knowing if the grasslands have been cut or not. | A tool that checks if fields have been mowed using pictures from space. | Estonia |
| 225 | Farmers have difficulty following climate-friendly practices and detecting crop damage quickly. | An aid to ensure farmers follow sustainable practices and assess crop damage. | Belgium |
| 299 | Farmers struggle to spot harmful organisms in their crops. | Using flying machines to spot problems in crops. | Netherlands |
| 315 | Trees are being cut down illegally. | A tool to identify illegal tree cutting using satellite images. | Netherlands |
| 617 | Farmers have difficulty following complex farming rules. | Help to monitor and manage farming rules and obligations. | Germany |
| 641 | Farmers have difficulty tracking when to mow their grasslands. | Monitoring system for grassland care activities. | Estonia |
Monitoring animals
Monitoring animals
This use case tackles projects that aim to monitor wildlife and specific insect types, addressing the challenges faced in animal conservation and research. In the Netherlands, for instance, there is a difficulty in identifying and locating a specific type of insects, which is crucial for maintaining ecological balance and biodiversity. Another challenge faced is the manual monitoring and counting of animals, which is a labor-intensive and time-consuming process.
These projects are leveraging AI to automate and enhance these processes, making it easier to track, identify, and count animals. Each project is a step forward in wildlife conservation, contributing to a better understanding of our natural world and helping to protect it for future generations.
Projects
Discover the ways AI is helping monitor and manage animal populations.
| ID | Problem | Solution | Location |
| 306 | There is difficulty in identifying and locating a specific type of insects. | An AI tool to identify and locate specific types of insects. | Netherlands |
| 335 | Animals are hard to monitor and count manually. | Automated system for tracking and monitoring wildlife. | Netherlands |
Monitoring land mass and forests
Monitoring land mass and forests
This use case tackles projects that aim to monitor and manage land mass and forests more effectively. Farmers in Belgium, for instance, are struggling to detect diseases in plants and animals early, which can lead to significant losses. In Portugal, there's an overwhelming amount of data from remote sensing that humans find difficult to process. Meanwhile, in Estonia, there's a pressing need to accurately measure and map forest resources, monitor the growth and health of vegetation, and keep track of changes in the forest.
These projects are crucial in ensuring the sustainable management of our natural resources, helping us to better understand and protect our environment.
Projects
Discover the solutions in land management and forestry.
| ID | Problem | Solution | Location |
| 713 |
There is difficulty in identifying different types of trees, their height and whether they have been cut down. |
A tool to identify different aspects of trees and crops. | Estonia |
| 722 |
There is difficulty in accurately mapping ice locations. |
A tool that uses machine learning to analyze satellite images for ice mapping. | Estonia |
| 730 | There is difficulty in keeping track of forest resources and their conditions. | Monitoring and managing forest resources using remote sensing data. | Estonia |
|
7 |
Farmers struggle to detect diseases in plants and animals early. | An AI tool that helps farmers keep their plants and animals healthy. | Belgium |
|
102 |
There is too much data from remote sensing to process by humans. | An automated system to process large data for land applications. | Portugal |
|
223 |
There is too much data from farms and food labs to process quickly and efficiently. | An easy tool to analyze and use farming data quickly. | Belgium |
|
247 |
There is a need to accurately measure and map forest resources. | Making maps to understand and manage forest resources better. | Estonia |
|
251 |
There is difficulty in accurately determining ice conditions in the sea. | Analyze sea ice conditions for better understanding of winter scenarios. | Estonia |
|
254 |
Farmers have difficulty identifying which crops are suitable for their land. | Identifying the best crops for specific conditions. | Estonia |
|
279 |
The positions of permanent antennas sometimes have breaks in their measurements. | Improve the accuracy of location measurements. | France |
|
281 |
The coastline measurements are not accurate and need corrections. | Enhance coastline mapping through automated corrections. | France |
|
310 |
Inspecting areas is difficult and time-consuming without automation. | An app that uses photos to inspect and monitor areas. | Netherlands |
|
364 |
There is difficulty in monitoring the growth and health of vegetation every year. | Monitoring plant growth yearly using satellite data. | Netherlands |
|
845 |
Forests are not monitored and managed properly. | A system to monitor and manage forest resources remotely. | Germany |
|
855 |
Forests are hard to measure and monitor for their size and their role in absorbing CO2. | A tool to measure forest dimensions and biomass from satellite images. | Germany |
Nortal is a strategic innovation and technology company with an unparalleled track-record of delivering successful transformation projects over 20 years.
As a valued partner for governments, healthcare institutions, leading businesses, and Fortune 500 companies we deliver value by challenging the status quo and succeeding where legacy firms fail.
With transparency, direct feedback, and prioritizing value over effort – we deliver results while benchmarking performance to potential, not history.
