Applications Of Computer Vision

Applications of Computer Vision

Computer vision, an AI technology that allows computers to understand and label images, is now used in convenience stores, driverless car testing, daily medical diagnostics, and in monitoring the health of crops and livestock. From our research, we have seen that computers are proficient at recognizing images. Today, top technology companies such as Amazon, Google, Microsoft, and Facebook are investing billions of dollars in computer vision research and product development.

Here are the use cases of computer vision fall into the following clusters:

• Retail and Retail Security
• Automotive
• Healthcare
• Agriculture
• Banking
• Industrial

Retail and Retail Security

Some Companies and brands are using or start introducing those types of widgets which uses AI and Computer Vision.

Amazon Go

Amazon Echo

Kinect for Windows (Virtual Mirror)Amazon Go: Amazon recently opened to the public the Amazon Go store where shoppers need not wait in line at the checkout counter to pay for their purchases. Located in Seattle, Washington, the Go store is fitted with cameras specialized in computer vision. It initially only allowed Amazon employee shoppers, but welcomed the public beginning in early 2018.The technology that runs behind the Go store is called Just Walk Out. As shown in this one-minute video, shoppers activate the IOS or Android mobile phone app before entering the gates of the store.

As also seen in the video, cameras are placed in the ceiling above the aisles and on shelves, using computer vision technology, these cameras have the capability to determine when an object is taken from a shelf and who has taken it. If an item is returned to the shelf, the system is also able to remove that item from a customer’s virtual basket. The network of cameras allows the app to track people in the store at all times, ensuring it bills the right items to the right shopper when they walk out, without having to use facial recognition.

• Automotive
• General Motors GM
• Waymo
• Daimler-Bosch
• Ford
• BMW-Intel-FCA
• Renault-Nissan-Mitsubishi Alliance.

General Motors: GM topped the list, with a recent design reveal of its Level 4 self-driving Cruise AV, which does not include a steering wheel. Waymo. Formerly known as the Google self-driving car project, Waymo is working to improve transportation for people, building on self-driving car and sensor technology developed in Google Labs. These cars are equipped with sensors and software that can detect 360 degrees of movements of pedestrians, cyclists, vehicles, road work and other objects from up to three football fields away. The company also reports that the software has been tested on 7 million miles of public roads to train its vehicles to navigate safely through daily traffic. It is able to follow traffic flow and regulations, and detects obstacles in its way. The company claims to use deep networks for prediction, planning, mapping and simulation to train the vehicles to maneuver through different situations such as construction sites, give way to emergency vehicles, make room to cars that are parking, and stop for crossing pedestrians.

Healthcare. Gauss Surgical

Gauss Surgical has developed blood monitoring solutions that are described to estimate in real-time blood loss during medical situations. This solution, maximizes transfusions and recognizes hemorrhage better than the human eye.[image: ]Gauss Surgical Triton line of blood monitoring solutions includes Triton OR which uses an iPad-based app to capture images of blood on surgical sponges and suction canisters. These images are processed by cloud-based computer vision and machine learning algorithms to estimate blood loss. The company says the application is currently used by medical professionals in hospital operating rooms during surgical operations or Caesarian deliveries.

Agriculture

Some farms are beginning to adopt computer vision technology to improve their operations. This research suggests that these technologies aim to help farmers adopt more efficient growth methods, increase yields, and eventually increase profit.

Slantrange

It claims to offer computer vision-equipped drones that are connected to what the company calls an “intelligence system” consisting of sensors, processors, storage devices, networks, an artificial intelligence analytics software and other user interfaces to measure and monitor the condition of crops. At 120 meters above ground level, the camera has a resolution of 4.8 cm/pixel. The company claims that the drone captures images of the fields to show the different signatures of healthy crops compared with “stressed” crops. These stressors include pest infestations, nutrient deficiencies and dehydration; and metrics to estimate potential yield at harvest, and others. These signatures are passed on to the Slant. View analytics system which interprets the data and ultimately helps farmers make decisions related to treatment for stress conditions.