Whitepaper: The ROI of Computer Vision Solutions

The right technology can dramatically transform your business with radically higher ROI, and computer vision can indeed help you outcompete your rivals and better serve your customers. One of the first questions you should ask when adopting a new tool or platform is: what kind of return on investment can you expect? But in the case of computer vision, the answer may be even higher than you expect. According to Accenture, investments in artificial intelligence may boost organizations’ revenue by up to 30 percent over the next four years.

Recent advances in AI and machine learning have enabled computers to “see” images and videos and understand them at a high level, just as well as—and in some cases better than—humans can. So with these new technological capabilities in mind, what kind of ROI can you expect from a computer vision solution? Download the Computer Vision ROI Whitepaper or read on.

The ROI of Computer Vision by Industry

No matter which industry you’re in—from automotive and oil & gas to agriculture and geospatial—computer vision has a wide range of potential applications. Below are just a few examples:

• Safety and security AI: Computer vision platforms can improve safety and security by slashing costs related to accidents, theft, and vandalism. For example, sophisticated computer vision models can monitor job sites to ensure that workers are wearing safety equipment, or use digital barriers to stop workers from entering restricted areas.
• Healthcare AI: Together with human diagnosticians, computer vision solutions can analyze medical imagery and offer more accurate assessments of patients’ conditions. Facial recognition systems can also help reduce the costs and dangers of patient misidentification errors.
• Retail AI: Computer vision for retail involves multiple distinct use cases: for example, monitoring product inventory on shelves, or helping lower shrinkage rates (in particular employee and customer theft).
• Manufacturing AI: Industrial and manufacturing companies have put computer vision to good use to improve their quality control processes and monitor their infrastructure and machines. Computer vision platforms can help identify product defects such as cracks, impurities, and missing parts, and also watch the manufacturing line for problems such as corrosion, wear and tear, and performance issues.

The computer vision applications above have helped countless businesses transform their operations and see a return on investment sooner—and we’re just getting started. Thanks to the GPU and deep learning revolution, computer vision has never been more accessible to more organizations, with easy-to-use platforms available for even the most non-technically skilled employees.

Want to know how computer vision can help your own organization increase your revenues while improving your productivity and efficiency? Download Chooch’s white paper “ROI of Computer Vision” now to learn how computer vision works, how businesses of all sizes and industries are adopting computer vision technologies, and the benefits they’re seeing from this investment. For more information, you can also check out our page of computer vision resources, including data sheets, case studies, and videos.