Work
Services delivered to empower people and business with AI
High quality work delivered
The Top Data Science team has executed a multitude of AI development projects to a wide range of industries. The scope of services has ranged from small-scale data assessments and technology proofs-of-concept to production-grade solutions deployments. The primary goal is to always provide deliverables that enable the customer to take desired steps forward in their digitalization and AI utilization journey.

Accelerating Utilization of Computer Vision and Value Creation
Forestry and Biomaterials Industry
Process and production monitoring at factories is typically done manually, and 24/7 attention is required by the control room personnel to carry out this task. The operators are overwhelmed by a high number of displays and the information they provide, and their mobility is restricted.
The Developed Computer Vision Platform enables the customer to scale computer vision utilization across the company operations. Users are provided tools to easily deploy or fine-tune existing models as well as develop and onboard their own models.
Read the full reference case here.
Benefits
- Cost savings and better working conditions through a higher level of automation
- Fast and fluent scaling of application utilization
- Fast platform agnostic application development
- Utilization and reuse of existing application and models

Automated Quality Assurance Process
Automotive Product Manufacturing
Quality assurance in automotive product manufacturing requires adaptation to a plethora of components and parts as well as tight quality requirements. This combination makes manual inspections time-consuming and rule-based automation difficult to implement.
The developed computer vision solution enabled the customer to roll out an automated quality assurance process across their sites globally. The technology approach combines deep-learning-based computer vision with an easy-to-use cloud-based software application.
Read the full reference case here.
Benefits
- Cost savings and improved productivity through a higher level of automation
- More standardized quality assurance practice locally and across different sites
- Improved product quality

Minimizing errors in PCB assembly
Electronics Manufacturing
Through-hole technology (THT) is widely used in the assembly of printed circuit boards (PCBs) for products with high power and physical robustness requirements and often relatively low production volumes. Any defects in the component assembly process can prove costly by leading to reassembly steps or even defective end products. Furthermore, new products are regularly introduced in production, which would make automated systems without lifecycle considerations quickly obsolete.
In addition to automating the visual quality inspection of a THT assembly with computer vision technology, Top Data Science has helped customers to introduce a streamlined practice for introducing new products in the process. Besides directly reducing the cost of quality, this supports the core business need of a dynamic production portfolio.
Benefits
- Reduced quality cost for PCB manufacturing
- Reduction of human quality assurance work
- Support for manufacturing product portfolio flexibility

Improving construction productivity
Construction industry
Seismic reinforcement of concrete bridges involves attaching metal brackets to enhance the stability of the structure during seismic activity. Traditionally the exact locations of the support brackets are measured using film and manual markings, a laborious process that is prone to errors.
To address these challenges for a Japanese engineering leader, Top Data Science developed a solution that automates the measurement process using smartphone camera images. With this approach, a construction worker can obtain the measurement results simply by taking pictures with a smartphone. The results are calculated in seconds, drastically reducing time and minimizing errors.
Read the full reference case here.
Benefits
- Time saving in the construction process
- Eliminating construction errors
- Removing variability and inconsistencies between persons

Ensuring quality in logistics
Chemical industry
Efficient logistics of manufactured goods are often reliant on printed package labeling. Even minor glitches in the physical package labeling process can result in the product ending up with the wrong recipient, perhaps in a geographical location far from the correct one. These events, even when happening rarely, can have a significant negative impact on customer satisfaction and be associated with a meaningful extra cost.
To address these challenges for a Finnish food ingredient manufacturer, Top Data Science developed a computer vision -based solution that automates the visual checks of package label content and readability. Comparing critical information detected in the label with the ground truth of the production system, it can immediately alert the production operators about any issues or even control the production line directly.
Benefits
- Ensuring customer satisfaction
- Reducing error-related logistics costs
- Decreasing cognitive load of production operators through automated inspection

Pushing technological boundaries in traffic safety
European Research
While the grand goal of driving technology development is a fully self-driving car, AI is enabling significant safety improvements also on the lower ladders of autonomy. In the EU-funded Shape Future project Top Data Science has developed computer vision -based technologies for a safer driving experience.
The main focus of the work has been automated traffic blind spot indication with depth-based video analysis. Top Data science has also contributed to research on virtual blind spot removal, a cloud-based capability that utilizes external video sources to analyze the risk levels associated with different blind spot scenarios.
Benefits
- Increased situational awareness in traffic
- Decreased cognitive load for the driver
- Implementation performance suited for onboard computers

Optimized Pulp Production Process
Forestry and Biomaterials Industry
Pulp production process requires 24/7 control to ensure that the end-product quality meets the requirements of customers with high certainty. At the same time the use of chemicals and other raw materials should be minimized to support achieving financial and sustainability goals.
Developed deep-learning based predictive modelling application framework enables optimization both for pulp and board production, and it can be utilized in other domains due to its modularity and customizability. Optimization services can be used through an easy-to-use end-user application or as an embedded service.
Benefits
- Optimized production performance
- Improve profitability and sustainability through minimized use of chemicals
- Improved end-product quality
- Improved predictability and process transparency

Automated Meter Reading Service
Energy Utilities
A typical power plant has a plethora of analog and digital meters whose values have to be read on a regular basis with adequate accuracy. This is a repetitive and time consuming activity. The meters measure many different things from temperature to moisture, pressure and electricity consumption.
Due to the limited amount of data we decided to use multiple computer vision methods, which enabled us to achieve accurate and reliable results also on edge cases. The methods included Feature Matching to extract the Region of Interest (RoI) precisely, and a generative model approach for edge cases.
Read the full reference case here.
Benefits
- Productivity improvements and better working conditions by avoiding tedious and time-consuming manual visual inspections
- Improved profitability through advanced analytics, such as forecasting and anomaly detection, by providing values with high accuracy and desired frequency
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Top Data Science services are trusted by leading companies and organizations worldwide to transform their industries through the utilization of AI technologies


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