Counting, checking and inspecting — with the camera you already own

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Vision projects have a reputation for being expensive because they are usually sold with new hardware. Most of the useful ones we build run on cameras that are already on the wall, or on a phone in somebody's hand.

What it is good at

Counting things. Checking whether something is present, missing or in the wrong place. Reading a label, a plate or a serial number. Flagging an obvious defect. Unglamorous jobs a person does accurately for about twenty minutes and then starts drifting on.

Where we see it pay

Stock and shelf checks

— what is on the shelf against what should be, from a phone walk-through instead of a manual count.

Goods in and goods out

— reading labels and matching them to the order, catching the mis-pick before it leaves the building.

Simple quality checks

— the missing cap, the crooked label, the wrong colour lid. Not fine-tolerance metrology; the obvious things that get through because somebody blinked.

Site and yard

— what is parked where, which bay is free, when a delivery actually arrived.

What we check before quoting

Whether the camera sees the thing well enough. Whether the lighting is consistent between morning and evening. Whether you have — or can collect — enough examples of the fault, including the rare ones. We do a paid two-week feasibility check on your own footage before anyone commits to a build, because about a third of the ideas we are brought fail on lighting alone.

What it does not do

Replace an inspector on anything safety-critical. Vision flags, a person decides. Any vendor selling you the other arrangement is selling you their liability.

Send us an hour of footage

That is enough for us to say whether this works.

How Computer Vision Helps Different Business Industries

  • Retail Industry

    In the retail industry, computer vision plays a crucial role in enhancing the shopping experience for customers. Retailers can use computer vision technology to track customer behavior, optimize store layout, and personalize product recommendations. Additionally, computer vision can help retailers monitor inventory levels, prevent theft, and streamline the checkout process through automated cashier systems.

  • Healthcare Industry

    In the healthcare industry, computer vision is used for a wide range of applications, including medical imaging analysis, diagnostics, and surgery assistance. With computer vision technology, medical professionals can accurately detect and diagnose illnesses, track patient progress, and improve treatment outcomes. Computer vision systems can also be used to analyze X-rays, MRIs, and CT scans to identify abnormalities and assist in decision-making processes.

  • Automotive Industry

    In the automotive industry, computer vision is leveraged for autonomous driving systems, driver assistance features, and vehicle safety applications. Computer vision technology enables vehicles to detect and interpret road signs, traffic signals, pedestrians, and other vehicles on the road. This technology plays a critical role in enhancing road safety, reducing accidents, and improving overall driving experience.

  • Manufacturing Industry

    In the manufacturing industry, computer vision is used for quality control, production automation, and predictive maintenance. Manufacturers can use computer vision technology to inspect products for defects, monitor production lines, and optimize workflow processes. By implementing computer vision systems, manufacturers can improve product quality, reduce waste, and increase operational efficiency.

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