Automotive Product Manufacturing

Quality assurance in automotive product manufacturing requires adaptation to a plethora of components and parts as well as tight quality requirements.

The developed computer vision solution enabled the customer to roll out an automated quality assurance process across their sites globally.

Benefits

• Cost savings and improved productivity through a higher level of automation
• More standardized quality assurance practice locally and across different sites

Read the full reference case here.

Electronics Manufacturing

Any defects in THT PCB component assembly process can prove costly by leading to reassembly steps or even defective end products.

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.

Benefits

• Reduced quality cost for PCB manufacturing
• Reduction of human quality assurance work

Construction industry

Seismic reinforcement of concrete bridges involves attaching metal brackets to enhance the stability of the structure during seismic activity.

To streamline the process of finding correct locations for the brackets, Top Data Science developed a solution that automates the measurement process using smartphone camera images. The results are calculated in seconds, drastically reducing time and minimizing errors.

Benefits

• Time saving in the construction process
• Eliminating construction errors

Read the full reference case here.

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.

To address this challenge 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.

Benefits

• Ensuring customer satisfaction

• Reducing error-related logistics costs

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.

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.

Benefits

• Optimized production performance
• Improve profitability and sustainability through minimized use of chemicals

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.

Benefits

• Increased situational awareness in traffic

• Decreased cognitive load for the driver

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.

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.

Benefits

• Productivity improvements and better working conditions by avoiding tedious and time-consuming manual visual inspections

Read the full reference case here.