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Felix LarocheDec 13, 2022 11:34:01 AM5 min read

6 Ways AI Powered Asset Inventory is Crucial to a Smart City

An asset inventory generated by artificial intelligence (AI) is a powerful tool in urban planning. Indeed, information and communications technology is an integral part of the path to becoming a “smart city.” Municipal managers and city planners can take advantage of the AI-driven features of leading 3D-mapping solutions provider, Jakarto, to improve the functionality of their asset inventory.

Leverage an AI-powered asset inventory
Source: Shutterstock

How AI Technology Can Help Asset Inventory

Artificial intelligence plays a role in identifying city assets by automating processes that would otherwise have to be done by humans. When trained, AI “thinks” somewhat like a human does. This lets computers do much of the asset-tracking work while humans focus on more complex tasks, like budget planning to maintenance. As a result, you wind up with more accurate and less expensive asset inventory management.

An effective asset inventory starts with a richly detailed digital twin. Jakarto produces digital twins for municipalities, using specific and trained AI algorithms to identify poles, traffic signs, and other physical features. This technology essentially robotizes and automates the location and measurement of as many assets as you want to examine.

Here are six advantages to using AI to optimize your city’s asset inventory.

1. Higher Accuracy

With artificial intelligence, you can achieve much higher accuracy than doing the same tasks by hand. That’s because it works consistently, according to its programming. For instance, AI doesn’t get tired or distracted as humans do. Jakarto’s road-based asset identification classifies 95%+ correctly, by default, and can be verified with 100% accuracy whenever necessary.

In addition, you can use Jakarto’s AI-powered asset inventory for trees and shrubs alongside the roads—again, at 95–100% accuracy. The artificial intelligence processes inventory data at over 200 kilometers per hour! This means that AI is not only more precise than manual processes but also faster and more cost-effective. To achieve maximum efficiency, using AI for asset inventory is an easy call.

2. State-of-the-Art Algorithm for Data Analysis & Processing

Technology develops rapidly, and new processing techniques produce far more detailed and valuable results. After collecting massive amounts of geospatial data from mobile sensors, Jakarto’s AI automatically processes this information into actionable models.

Artificial intelligence works on its own to find objects throughout your city. It’s like having a super-fast and efficient employee exploring the municipality to identify assets and their locations. However, because the process is automatic, you can redeploy your actual employees to more value-adding activities.

The algorithm in Jakarto’s software has learned from expert human input how to classify objects. From the raw data, AI can extract shapes and categorize physical features. The result is on-point automation of your city’s asset inventory.

3. Customizable for Client Needs

AI-powered asset inventory is completely customizable for your specific situation. Jakarto can capture data in two complementary modalities, with different sensor types generating their own outputs:

  • Point clouds using LiDAR (laser imaging, detection, and ranging) to establish the shape of objects with millions of very precise 3D measurements.
  • High-definition images created by HD cameras to give objects a realistic appearance, including their color.

By combining these two approaches, it’s possible to determine the spatial relationships of any physical objects in your city. Furthermore, Jakarto can apply AI algorithms flexibly, as these programs utilize any mix of point clouds and HD images.

For example, say you wanted to analyze road signs. The point clouds could determine the geolocation, shape, and related measurements of the poles and boards. At the same time, the HD cameras would be able to identify the type of signage—as well as read what is written on the sign or board—such as parking restrictions.

Source: Shutterstock

4. Real-Time Processing for Real-Time Decision Making

With near real-time processing, city planning decisions are faster. This is an integral attribute for a smart city, where you need rapid decision-making to keep pace with people’s expectations. Outdated asset inventory methods add unaffordable delays. The digital age calls for AI-powered inventories.

City mapping specialists who have struggled with slow and expensive data acquisition can take heart from these developments in automation. Rather than sending engineers into the field, it’s much simpler to access the data directly, eliminating prohibitive time and expense from the equation. The result? Better and more timely decision-making.

5. Repeatable, Reproducible, Highly Scalable

A core feature of artificial intelligence is its regularity. Once a system has been developed and programmed, it can perform its work consistently, as many times as desired. The software is reproducible and highly scalable.

When you deploy personnel, they can only cover a given area in a set amount of time. Moreover, the quality of data captured may well depend on the particular individual, even down to how they might be feeling at the time. Not so with AI, with its reliable performance that is far more suitable for municipal planning needs—whatever the scale.

6. Considerable Cost and Time Savings

Perhaps the biggest advantage of using artificial intelligence for municipal asset inventory is its superior efficiency. AI runs faster and cheaper than working manually. As a result, you can achieve the same or better quality with fewer resources. Overall, it’s a smart move.

Role of AI Powered Asset Inventory in Smart Cities

An AI-powered asset inventory tells you about the city’s resources, quickly and automatically. By using this technology, municipal planners are able to extract more value from information, leading to a smarter city. Moreover, using AI saves time and money.

Once the digital twin is generated from the field data collected, Jakarto extracts municipal data and transforms it into an extremely useful and valuable format—a database of objects for different types of inventory. City planners are then able to use this asset data to make more intelligent decisions, creating a safer and more productive city.

Asset inventory data enables information-driven decisions. And as these AI-derived data analyses permeate every aspect of society, they also deliver a more functional city.

Become Smart by Utilizing AI Asset Inventory

Artificial intelligence is a technology that’s found widespread use among many industries—including city planning. Jakarto’s AI capabilities empower cities to develop a more efficient asset inventory, contributing to the rise of the smart city.

By using a digital twin, you can enhance your city’s asset management expertise. Jakarto captures precise geospatial data, enabling you to conduct urban planning processes and operations far faster and at a much lower cost to deliver better services to all citizens.

Contact Jakarto to learn what AI can do for your city!


Felix Laroche

Après avoir passé plus de 20 ans au sein de JLR Solutions foncières, dont 7 à titre de président, Félix est maintenant impliqué à 100% dans son nouveau projet Jakarto. Ce projet consiste à modéliser les villes en 3D, afin de créer des villes jumelles numériques à l’aide de la technologie LiDAR, plus spécifiquement des LiDARs terrestres. Deux marchés sont priorisés, les villes intelligentes et la cartographie HD pour la conduite autonome.