Computer vision solutions are all around us, in cars, consumer products, security, retail, and agriculture. But, designing these solutions is not easy, mainly because of constant algorithm upgrades and related requirements changes. This means that wherever the team is in the RTL creation and verification flow, they might have to start over, which can cause an unacceptable delay in the production schedule. The only solution to this problem is to adopt a High-Level Synthesis (HLS) flow. This white paper covers the role of convolutional neural networks in computer vision designs, typical coding practices, and how HLS addresses design challenges.