How computer vision can help your business

What is computer vision?

Computer vision is a branch of artificial intelligence (AI) that enables computers to interpret visual information like photos, videos or live camera feeds like humans do. 

“It’s really about interpreting an image from a visual component,” explains Robin Kurtz, R&D Lead and Senior Software Developer at Osedea, a technology company that helps organizations adopt practical AI tools, including computer vision.

He says computer vision can identify objects, detect defects, read text, measure shapes or even spot safety issues. By automating these tasks, computer vision helps businesses do this work faster, more consistently and at scale.

How can businesses use computer vision? 

Many common business operations rely on visual checks:

• Inspecting products for defects
• Confirming equipment readings
• Ensuring safety protocols are followed
• Reviewing documents. 

These tasks are essential, but they’re also repetitive, time consuming and prone to human error. 

In most businesses, these checks are still performed manually. Staff must be trained to recognize defects or spot subtle issues, often while examining similar products for hours at a time. This work is tiring and difficult to scale.

Computer vision shifts that visual expertise into a model. The system learns what a defect looks like and automatically identifies and rejects products that don’t meet specifications. This reduces eye strain and repetitive work for employees, while also generating detailed data about defect types and locations—insights that manual inspection rarely captures.

As a result, computer vision can strengthen quality control, improve safety and provide insights that were previously difficult to capture. Kurtz says one of the most common uses is detecting defects on production lines. 

“Let’s say you’re running a production line,” he explains. “You might want to identify if a label has been skewed, wrinkled or scuffed.” Instead of relying on people to catch these problems, he says computer vision can flag issues consistently, quickly and around the clock.

Computer vision is also used for:

• tracking inventory levels in real time
• monitoring store shelves to prevent running out of stock
• verifying packaging accuracy
• monitoring equipment and detecting problems or anomalies 
• supporting automated checkout systems
• detecting safety violations

How does computer vision work?

Computer vision is already integrated in many technologies we depend on every day. For instance, when your phone unlocks using your face, when a car detects an obstacle, or when a document scanning app converts a photo into text, computer vision is at work.

Although the underlying technology can be complex, the basic process is straightforward. A camera mounted on a production line, drone, robot or fixed location captures images or video. The images are then sent to an on-site or cloud server, where a model analyzes them.

Kurtz uses the simple example of a cat. Depending on the task, the model can classify an image (“this is a cat”), detect objects (“the cat is here in the image”), or outline shapes (“this is the exact boundary of the cat”). It can also use more traditional techniques to detect lines, circles or gauge needles.

“We basically throw the image into the model,” he says. “And then that outputs a result.” The result might then be saved in a database, used to trigger an alert, or sent to a dashboard for a human operator to review.

Modern computer vision systems often rely on deep learning, where models learn patterns such as edges, shapes and other features. This enables them to consistently detect subtle defects, unusual patterns or rare events that humans might overlook.

Benefits of computer vision 

Computer vision has several benefits for entrepreneurs: 

• Computer vision can improve quality control by detecting issues earlier and more consistently than manual inspection.
• It can reduce operating costs by automating repetitive visual tasks.
• It increases throughput because machines can inspect products faster than humans.
• It reduces downtime by identifying equipment issues before they become serious.
• It can enhance safety by detecting hazards or the absence of protective equipment.

For many companies, the biggest benefit is better data. Visual information that was once subjective becomes measurable and actionable. Trends can be tracked, reports can be generated, and decisions can be made based on evidence rather than guesswork.  

How can computer vision be applied in different industries?

Manufacturing

Computer vision can help manufacturers do everything from checking the assembly of cables used in electric vehicle charging to verifying that each component is installed correctly and flagging any issues before the product leaves the facility. For companies that rely on manual inspection, this can significantly reduce errors and improve efficiency.

Kurtz provides the example of a client in the textile industry who uses the technology to inspect large rolls of fabric. Instead of having a worker manually scan yards of material for snags or stains, a camera system records the fabric and automatically identifies defects.

Computer vision can also support preventive maintenance. A thermal camera might detect that a machine is running too hot, allowing a technician to fix the issue before it causes downtime.

Retail

Retailers can use computer vision to monitor shelf availability, detect misplaced items and reduce shrinkage. This can prevent lost sales by ensuring products are always available.

Construction and infrastructure

Construction sites can use computer vision to monitor safety compliance. Cameras can detect whether workers are wearing hard hats, gloves or reflective vests. Computer vision can also be used to track construction progress, compare work completed to architectural plans and detect structural issues early.

Kurtz cites a Montreal metro station that developed a crack, forcing a shutdown. “If that station had been scanned periodically… they may have been able to find that crack before it was a problem.”

Food and beverage

Computer vision can help detect foreign objects in food or identify contamination. This can reduce recalls and improve product safety. Food processors also use computer vision to grade produce, verify packaging seals and ensure consistent portion sizes.

Professional services

Even industries that don’t produce physical products can benefit from computer vision. Kurtz notes that accountants or law firms can use optical character recognition (OCR) to convert scanned documents into searchable text, saving time and money.

How to choose the right computer vision project

Not every business and process will benefit from computer vision. Kurtz recommends focusing on parts of your operations where visual information is essential, and where mistakes are costly or happen frequently.

He also suggests starting with a small, well defined problem. A proof of concept can help you determine whether the technology is a good fit before investing in a full-scale system.

How to implement computer vision in your business

1. Determine what problem you want to solve

Implementing computer vision usually begins with a simple question: What problem do you want to solve? It might be catching defects, monitoring safety or checking equipment.

2. Determine what data you need

The next step is to look at your data. Do you already have cameras? Do you need new ones? How often should images be captured?

3. Start with a pilot project

Kurtz says Osedea often begins with a small pilot project. “We offer proofs of concept to test these solutions before going into full production.”

If the test works well, the team can train or configure a model, connect it to your existing systems and build dashboards or alerts so staff can see what’s happening in real time.

4. Keep improving

As the system runs, it keeps improving. The more images it sees and the more feedback it gets, the more accurate it becomes. Regular check ins help ensure the model stays reliable and continues delivering value.

Computer vision is a practical tool

Whether you’re in manufacturing, construction, textiles or professional services, the right project can deliver measurable results, but it takes planning. As Kurtz puts it, “You need to walk before you can run. You need to have a plan in place before you start.”

But one thing is clear: computer vision is no longer a futuristic technology, it’s a practical tool that businesses of all sizes can now use to improve quality, reduce costs and operate more efficiently.

Ready to explore what computer vision can do for your business? 

Get preferential-rate consulting and financing to invest in AI, automation and advanced computer vision equipment with the LIFT program.