A Look into the Advantages for Early Adopters of Computer Vision
Updated: Aug 5
The use of AI technologies has gained broad acceptance in the business world. Now it’s time to move into the widely adopted phase.
Computer vision is one type of AI that many industries have taken an interest in, and adoption is closely following. For that reason, we will look at the implications for the restaurant industry.
Study Finds Computer Vision Is Gaining Steam Across Industries
Understanding of computer vision has grown significantly, and businesses across every industry are lining up to be early adopters.
Fortunately for early adopters, they are situating themselves to gain the most notable advantages from the technology. The restaurant industry – rebounding from the turmoil – is one sector that stands to access these large-scale benefits.
In a study “Early Adopters See Value in Computer Vision” commissioned by Insight, 10% of respondents indicated they are already using computer vision. Another 37% are planning to, and 44% more are exploring the technology.
Additionally, a staggering 96% reported a belief that computer vision could generate more revenue for their business.
The most popular reasons cited for adopting computer vision were limiting costs, innovation, improving safety and security, and gaining a competitive advantage.
Businesses using computer vision will soon become an undeniable force among their competitors. However, hospitality executives weren’t included in the study, so what does it mean for restaurants specifically?
Implications for the Restaurant Industry
The restaurant industry is uniquely positioned to capitalize on insights gathered through computer vision. Restaurants operate within finite spaces and utilize repeatable processes, which makes them ideal for visual intelligence technology.
The pandemic and other current events have brought safety to the forefront of everyone’s mind. Based on responses from the Insight study, safety and security are two of the top motivators for early adopters of computer vision.
Computer vision allows restaurants to monitor current occupancy to stay within capacity restrictions without requiring a staff member to monitor each area. Additionally, management will have access to historical data and patterns to prepare for the busiest times and implement measures to prevent potentially hazardous conditions.
But occupancy isn’t the only metric tracked through computer vision. The technology also has the capability to monitor mask compliance so you can address any concerns with employees or customers before it becomes an ongoing trend.
All of this information is gathered without exposing any personal data that might infringe on anyone’s privacy.
Consequently, restaurants can protect the health and safety of their staff and customers without compromising trust or their reputation.
Through computer vision, restaurants can develop processes that scale reliably.
Without visual intelligence, restaurants are entirely dependent on human observation and reporting to innovate. Restaurants operating based on management insights are subject to human error. Even minor discrepancies in the way data are gathered can hurt your processes.
However, insights collected through computer vision aren’t subjective. Every observation and dataset is consistent. Processes created using visual intelligence can be streamlined so when they are implemented, any inaccuracies can be quickly picked up on and addressed.
When you use real-time data from computer vision, you can pivot faster and more accurately — creating additional areas for growth and a better customer experience.
Increasing the speed of innovation and improving the efficiency of operations aren’t the only benefits of computer vision for restaurants.
When you have a plethora of insights at your fingertips, it’s easier to spot both opportunities and problems. For example, computer vision helps you identify hiccups like stagnation in production and long customer wait times to pinpoint the issue and recognize areas for improvement.
Speed of service, improved customer service, and enhanced customer experiences all amount to happier, more satisfied customers who are more likely to repeat which means more revenue for the restaurant.
Furthermore, restaurants can develop better training for employees based on data gathered through computer vision. AI-collected data also limits the amount of time management spends on direct observation.
Using computer vision, restaurants can accomplish more with fewer resources, creating higher profit margins across the board.
Advantages of Early Adoption
Early adopters of computer vision stand to gain the most from the technology. As we’ve seen in other industries, failure to rapidly innovate results in losing market share and momentum.
Restaurants that utilize computer vision can go after opportunities that might have been missed previously because your staff members were preoccupied with tasks that could be handled through advancements in technology. The ability to explore new opportunities allows you to stay ahead of the competition.
Plus, referring back to Insight’s research, 50% of the participants who have implemented computer vision expect to have a return on their investment within one year.
Investment in AI technology differs from other types of investment because of the rapid actionable insights and the benefits of ongoing, congregate data that feeds better intelligence to decision-makers proving the value of the technology almost immediately.
Most importantly, innovations like computer vision are the way of the future. Failure to adapt to advanced technology will slow down progress and make your restaurant more susceptible to future industry fluctuations.
Learn more about computer vision for operational efficiency.