We specialize in building bespoke AI models. Тhe success and performance of the AI models which we build for our clients depends on the availability, quality and size of training data. Often data is not available immediately at the onset of project – data may not yet be collected and stored in a suitable format, confidentiality and privacy terms may restrict the use of data, or data from a particular training distribution may not be available at all.
On a current project, Smart Roads AI, we knew that DPIA, Data Protection Impact Assessments, approvals would take time to be reviewed and granted. But even when client training data would become available, we suspected that the available data would be skewed and it would not present enough samples from some distributions (use cases) which were important for our client, for example road data showing:
The lack of training data increases the risk of knock-on delays. We knew we would have to collect data ourselves. We also quickly discovered that none of the off-the-shelf mounting kits met our mounting requirements. We wanted to be able to mount recording equipment externally to vehicles in order to assess the feasibility of using infra red sensors for depth sensing and remote measurement capabilities. However, we did not find any products that met the identified requirements in terms of ruggedness, IP (weatherproof) rating, theft deterrence, cooling, and space options for storage of auxiliary hardware such as external battery, which was necessary for continuous 16 hour recording.
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