Owning a bar sounds fun – and it can be incredibly rewarding. But you can expect a few challenges along the way. By carefully planning your launch and ensuring that everything is set up correctly, you can mitigate some of these challenges and increase the likelihood of your bar’s success.

Below are just a few key things to consider when starting a bar.

Funding your bar

Opening a bar can cost anything from $25k to $1 million, depending on the type of bar you’re planning on setting up. Nightclubs and upmarket pubs tend to be on the higher end of the scale ($250k +). Specialty bars like wine bars and brewpubs – especially those that don’t serve food – can be significantly cheaper (usually $25k to $100k). However, in all cases, you’re looking at tens of thousands of dollars.

Most aspiring bar owners will take out business loans or seek out investment from VC firms/angel investors. There may even be the option of crowdfunding your bar. When exploring different options, make sure that you have a detailed business plan in place. A financial advisor may be able to help you with this.

Finding the right location

The location of your bar can significantly impact both the amount of business you generate and your outgoing costs. Generally, it’s a case of choosing between high foot traffic or low rent/tax. Bars in busy or attractive locations will often cost more to run but generate more business. Bars in more remote and less attractive locations will cost less to run, but you’ll have to do more marketing to attract customers. 

On top of the location, think about the type of building that you’re choosing. Buildings that were previously bars will cost less to convert than buildings that weren’t already bars. You also need to consider the condition of the building as this will affect the amount of restoration and maintenance required. 

Getting licensed

Several licenses and permits are required to open a bar. It’s important that you have all of these licenses approved before you serve your first customers. Some of the licenses you may need include:

• A business license
• A certificate of occupancy
• A liquor license
• A food license
• A music license
• A live entertainment license
• A pool table license
• A signage permit
• A resale permit
• A building health permit

You can find a detailed list here of all the different licenses you’ll need. The cost of these may vary depending on the state you are applying from. You can apply for each one online. 

Deciding upon a USP

Every bar needs a USP (Unique Selling Proposition). This is the aspect of your bar that sets it apart from its competitors. 

Having a USP may not be as necessary if you’re the only bar in your village. However, if you’ve got lots of local competition, it could be essential to have something that makes you stand out. A few examples of USPs for bars include:

• Specializing in a certain drink (like a wine bar, whisky bar or brewpub)
• Specializing in a certain food (like burgers, seafood or pizza)
• Offering certain live entertainment (like live music or comedy)
• Embracing a cultural or historical theme (such as an Irish bar, British pub, Tiki bar or art deco speakeasy)
• Becoming a sports bar and focusing on a specific type of sport (such as pool, football or baseball)
• Catering to a specific audience (such as dog owners, families, young adults or older people)

It’s worth looking for a local gap in the market when coming up with a USP. What type of bar is missing in your local area? And is there an audience for that type of bar? For example, a family bar-restaurant with a play area could be great in a suburban family area.

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Choosing your food and drinks

Next, consider the types of foods and drinks you will serve. This can be quite a fun process, however there is also a science to it – as this bar menu guide proves.

The key is to keep your menu well-balanced. There should be enough variety for different types of drinkers and eaters, but at the same time, the menu shouldn’t be too vast. Consider your USP and try to offer the most variety in this area. For example, if you’re a wine bar, you may want to offer a larger selection of wines, but you may only need to sell one type of beer.

Setting your prices

Once you know what you’re selling, you then need to think about prices. Your prices should be high enough to cover all your operating costs, while also generating a profit. At the same time, you don’t want them to be so high that they put customers off.

Be strategic with pricing. Most bars will have certain profit-making items that are usually popular, but not always immediately apparent. For example, a bar focused around beer may still sell a lot of soda drinks and food. Instead of increasing the price of your main selling point (your beer), you could aim to make a profit on soda drinks and food by pricing these slightly higher than average, while keeping your beer prices slightly lower than average. 

Hiring the right staff

Every bar needs a strong team of staff. Take your time to advertise so that you receive a large number of applications, and conduct interviews with as many promising applicants as possible. This will help you to build a strong team from the start. 

Consider hiring a few experienced bartenders and chefs to help you with management. If you’re hiring family and friends to help, ensure they are truly capable of the job. Remember that there are many roles in a bar, and certain individuals may be better suited to specific roles rather than trying to cover all of them. 

Adopting the right tech

Embracing modern technology can help your bar to run more efficiently. There are many different types of tech that can be worth investing in as a new bar. A few examples include:

• Bar management software for automating everything from staff scheduling to reserving tables
• Digital POS systems for taking orders
• Kitchen display systems for clearly showing kitchen staff each order
• A wireless card payment terminal 
• Automatic glass-wash/dish-washing machines

These are just a few of the most useful tech solutions worth exploring. There could be all kinds of other fancy options worth looking into, from self-service coffee machines to robot waiters, depending on who your audience is. 

Building your brand

Your bar needs a strong brand. This should reflect your USP, your target audience and your company goals.

Start by coming up with a name for your bar. Then consider a logo and all the different places you can put it (such as on your sign, uniforms, and menus). Other branding elements to consider could include a color scheme, certain font,s and a tone of voice (will your menu be worded in an elegant and formal way or a fun and laid back way). 

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Marketing your bar

Marketing is something you need to be doing on an ongoing basis. However, it’s something you should be doing particularly heavily before you open your bar. 

The essential things you should do include setting up a website and social media pages, as well as designing signage for your bar. You could also consider other types of marketing, such as contacting your local newspaper, putting up posters around your bar, and even organizing a launch party for select people in the area (this could include local business owners and VIPs).

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Facial recognition technology is now more than six decades old. In the 1960s, a research team conducted experiments on whether computers could recognize faces. Researchers used a primitive tool to map eyes, hairlines, and noses. The computer’s job was to find matches, but it failed to do so. 

Modern-day advances 

More recently, developers unveiled what is now known as the “deep convolutional neural network.” In this network, a model detects image data patterns. It utilizes an artificial neural network that mimics the way the brain functions. 

This network receives certain input values and checks the results for accuracy. If they are inaccurate, the system makes changes until the correct configuration is achieved. In other words, it teaches itself to recognize faces.  

The technology has made impressive progress  

In 2022, The New York Times reported that PimEyes, a tech-based website, could scour the web for faces and retrieve even the most obscure images. The service costs just $30 a month. What’s more, it took seconds to perform a search. The search yielded a grid of images that the technology identified as similar, along with links to the sites where they were published. 

The medium conducted a test using PimEyes, and the site found pictures of every New York Times journalist, including some that the individuals weren’t aware were even online. Some of them got links to photos in which they were wearing a mask or a pair of sunglasses. 

Mass devices are utilizing this cutting-edge technology. For instance, iPhones use 3D camera technology for their Face ID feature, which is based on infrared and available in the X models. Facial patterns are mapped by thermal IR imagery. They are mainly derived from blood vessels beneath the skin.

Apple uses protection measures, sending the detected pattern to a secure area. This makes sure authentication takes place locally, and Apple cannot access the patterns.

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Facial detection vs. recognition 

There are some key differences between face detection and recognition, although the terms are sometimes used interchangeably. 

Face detection is when the network detects a face. Social networks utilize it to create extensive catalogs of images, enabling users to find people online, among other things. 

Facial recognition, conversely, is the process of scanning a face and finding a match in a database. This is a more precise approach used to identify individuals when they enter buildings, unlock a phone or a door, etc. 

Facial recognition assessment criteria 

There are three criteria to assess facial recognition effectiveness, broadly speaking: true positives, false positives, and false negatives. True positive is when the system makes a correct match. High true positive rates are aimed for, obviously.

This isn’t the case with false positive incidences, where a system makes an incorrect match. These incidences should be low in number. The same applies to false negative rates, where the system fails to match a genuine user to their profile.

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Mass recognition: Worrying privacy issues 

In 2019, it was revealed that the FBI’s facial recognition network system could match against nearly 650 million images. It was noted that this number exceeded the total population of the US. The vast database included driver’s license photos from almost two dozen states, including states that did not explicitly allow such use of driver’s license repositories. 

The FBI performed more than 150,000 facial recognition searches from 2017 to 2019, which matched against mugshots. In addition to those searches, they ran ones on passport pictures and other external databases. 

The number of searches was concerning, considering that FBI-led investigations resulted in only about 10,000 criminal convictions in 2017, according to an article published in Time Magazine.

How Far Have Facial Recognition Searches Come?

Facial recognition technology has undergone significant advancements in recent years, achieving higher accuracy and efficiency compared to its earlier iterations. Here’s a breakdown of the progress:

Early Stages (1960s-1990s):

• Limited capabilities: Early facial recognition systems relied on basic 2D image analysis and struggled with factors like lighting variations, pose changes, and facial expressions.
• Low accuracy: Recognition rates were often unreliable, hindering practical applications.

Improvements and Advancements (2000s-present):

• Shift to 3D recognition: The introduction of 3D imaging and more sophisticated algorithms has improved accuracy, accounting for facial depth and contours.
• Deep learning revolution: The integration of deep learning techniques, particularly convolutional neural networks (CNNs), significantly boosted performance.
• Increased accuracy: National Institute of Standards and Technology (NIST) tests have demonstrated significant improvements in facial recognition accuracy, with error rates decreasing from approximately 4% in 2014 to less than 0.2% in 2018 for certain datasets.
• Faster processing: Advancements in hardware and algorithms have enabled faster processing times, making real-time applications more feasible.

Current Applications:

• Law enforcement utilizes facial recognition in various applications, including criminal identification, missing person searches, and security surveillance.
• Consumer technology: Facial recognition is integrated into smartphones and other devices for unlocking, photo tagging, and personalized experiences.
• Border security: Some countries utilize facial recognition at airports and border crossings for identity verification.

Challenges and Concerns:

• Privacy concerns: The widespread use of facial recognition raises concerns about privacy, potential misuse, and the possibility of bias in algorithms.
• Ethical considerations: Ethical debates surround the use of facial recognition in public spaces and its implications for individual freedoms.
• Accuracy limitations: Although accuracy has improved, facial recognition technology remains susceptible to various factors, including image quality, pose variations, and lighting conditions.

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Conclusion

Overall, facial recognition technology has advanced significantly in terms of accuracy and efficiency.

However, ethical considerations, privacy concerns, and limitations in accuracy remain significant aspects of the ongoing conversation surrounding this evolving technology.

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