Before making a major investment in computer vision (CV), you’ll want to evaluate the feasibility of the technology for a specific application. The ultimate success--or failure--of a CV project hinges on a wide range of factors. From camera selection to lighting, availability of data for CV model training, and deciding whether to process images in the cloud or on the edge, each factor should be considered and prioritized based on your particular need and use case. The specific optical and processing needs for detecting 100-micron variations in a machined part are vastly different from those for counting foot traffic in a retail store. With Computer Vision Proof of Concept consulting from TensorIoT, you gain expert guidance to evaluate implementing a computer vision for your company with confidence.

Through this consulting offer, TensorIoT will work with you to evaluate whether CV is right for a particular use case, build a working prototype, and help you determine feasibility and cost before making a major investment. During the engagement, TensorIoT will assist you in the selection and provisioning of new cameras and rigging or the use of existing cameras, as well as lighting, edge software, and cloud integration. Environmental factors such as the presence of mirrors and other reflective surfaces, sunlight, humidity, and others will also be evaluated as part of the consulting engagement. Finally, the selection of available services, such as Amazon Lookout for Vision, or the creation of a custom solution, will be delivered for your consideration.

After the evaluation phase, TensorIoT will work with you to define the project scope and business