Custom computer vision development refers to a growing type of Artificial Intelligence or AI that enables businesses to extract important information from different visual inputs, like images and videos.
It relies on algorithms that translate information taken from visual cues into knowledge through image analysis. Visual data sets have expanded rapidly and are being used to make important decisions across industries, from pharmaceutical companies to sports and real estate.
The work of computer vision developers makes it possible for companies to find innovative solutions and insights into problems and challenges they may face every day.
If you are interested in computer vision development services, keep reading! We’ll share some of the most popular use cases for custom computer vision software development.
Top Use Cases For Custom Computer Vision Development
There are several industries that use custom computer vision development services to enhance their day-to-day activities. A few examples include:
1. Workplace safety and preventive maintenance
Utility companies use computer vision software development teams to improve operations and safety. Computer vision-powered analyses of images of electric poles, for example, can detect critical defects that can be used to prevent harmful accidents.
By flagging anomalies that could lead to fires, utility companies can practice preventive maintenance and decide whether or not the defects require immediate attention.
This can go a long way toward preventing wildfires. Other companies use the same technology to spot violations in safety protocols or intrusions in work zones by analyzing videos in real time and letting managers know of the danger.
2. Reducing costs and maximizing efficiencies
Computer vision and software development is often deployed in restaurants that need to minimize their costs and drive efficiencies. Restaurant chains adopt AI innovations to reduce customer wait times, improve their layouts and monitor health and safety compliance.
Computer vision technology can analyze processes and identify opportunities to speed up operations. They can analyze the amount of time spent at the drive-through and waiting at the bar or dining room and can even be used to upgrade security.
3. Improved health outcomes
Human beings – and human vision – are fallible. A computer can detect anomalies in scans that a physician simply can’t and can be trained to analyze thousands of scans to discover new warning signs or indicators of disease that can be used to improve early detection capabilities in the healthcare sector.
In one case, visual AI systems showed more accuracy in detecting breast cancer from mammograms, reducing false positives and false negatives and reducing the workload of overburdened doctors.
The technology can also detect failures in hospital protocols, e.g., failing to sterilize equipment or leaving a foreign object in a patient’s body during surgery. Computer vision development can alleviate the burden that understaffed hospitals face and improve patient outcomes for good.
4. Improving footfall
Shopping malls need to improve footfall in their tenants’ stores, but it’s not easy. By using computer vision, the industry can create heat maps that analyze and track footfall or provide insights into customer behavior in the store.
They can experiment with different merchandising strategies to push up sales or traffic to specific areas in the mall. This isn’t limited to bricks and mortar stores either.
Stores use advanced computer vision technology to allow shoppers to find and take what they need without scanning or paying. The AI can detect what items have been taken and charge their account automatically.
The same technology can be used for effective inventory management – the computer vision tech can identify how many items are located in a specific video which reduces the need for human intervention and participation in time-consuming stock management exercises.
Real-time updates can be made at any time so that managers can make informed decisions about their stock levels, which can reduce shrinkage, waste, and understocking. Amazon has already experimented with advanced computer vision technology, and others will follow.
Conclusion
Custom computer vision development has proven to be transformative for a number of industries. As video becomes more and more prolific, the tools to analyze and utilize the data found in videos will continue to evolve and improve.
And so far, computer vision development is the frontrunner of the visual data revolution.
