Wednesday, December 29, 2021

Computer Vision Use Cases has published a series of interesting posts, where they list down a number of potential usecases of computer vision (CV) across various industries. 

Posting a few links below:

Jotting down a few usecases, where we see traction in the industry: 

  • Quality inspection: CV can be used to inspect the final OEM product for quality defects - e.g. cracks on the surface, missing component in a PCB, dents on a metal surface, etc. Google has launched a specialized service for this called as Visual Inspection AI
  • Process monitoring: CV can ensure that proper guidelines are being followed during the manufacturing process - e.g. In meat plants, are knives steralized after each cut?, Are healthcare workers wearing helmets and hand gloves? Do workers keep the tools back in the correct location? You can also measure the time spent in specific factory floor areas to implement 'Lean Manufacturing'. 
  • Worker safety: Is a worker immobile for quite some time (potential accident?), Are they too many workers in a dangerous factory area? Are workers wearing proper protective gear? During Covid times, monitor the social distancing between workers and ensure compliance. 
  • Inventory management: Using drones (fitted with HD cameras) or even a simple smartphone, CV can be used to count the inventory of items in a warehouse. They can also be used for detecting unused space in the warehouse and automate many tasks in the supply chain.
  • Predictive maintenance: Deep learning has been used to find cracks in industrial components such as spherical tanks and pressure vessels.
  • Patient monitoring during surgeries: Just have a look at the cool stuff done by Gauss Surgical ( With AI-enabled, real-time blood loss monitoring, Triton identifies four times more hemorrhages.
  • Machine-assisted Diagnosis: CV can help radiologists in more accurate diagnosis of ailments and detect patterns and minor changes far better than humans. Siemens Healthineers is doing a lot of interesting AI work to assist radiologists. More info can be found here --
  • Home-based patient monitoring: Detect human fall scenarios in old patients - at home or in elderly care centers. 
  • Retail heat maps: Test new merchandising strategies and experiment with various layouts. 
  • Customer behavior analysis: Track how much time a user has spent looking at a display item. What is the conversion rate?
  • Loss prevention: Detect potential theft scenarios - e.g. suspicious behavior. 
  • Cashierless retail store: Amazon Go !
  • Virtual mirrors: Equivalent of SnapChat filters where you can virtually try the new fashion. 
  • Crowd managment: Detect unsual crowds in public spaces and proactively take action. 
A huge number of interesting CV case studies are also available on roboflow's site here -

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