We humans have an inbuilt capability of detecting and classifying our surroundings and images. We develop contexts, identify objects, and understand their movements naturally but a computer/machine needs to be trained to identify and analyze images. Once this training is available to computer vision solutions, it could significantly augment the analytical support these machines can provide to human supervisors.
Computer vision enables computers to identify, evaluate, and derive actionable information from visual data like images, videos, etc. Computer vision can detect and analyze thousands of images every minute and notice indistinguishable issues at levels surpassing human skills.
With this power, computer vision is heralding a new age of effective supervision in business to optimize business operations, reduce human efforts, and retrieve valuable information and insights from data. That helps supervisors fine-tune production-related processes, reduce safety risks, and take the right actions at the right time. It helps enhance the supervision process, while being unobtrusive and invasive. For supervisors, the solution gives the gift of time. By automating many of the unnecessary and manual supervisory tasks, it frees them up to address more complex issues and deliver more impact for their actions.
Let’s understand how computer vision can empower humans in supervisory roles and enable them to focus on delivering more value to the bottom line of the business.
How Can Computer Vision Bring an Age of More Effective Supervision Across Industries?
- Industrial Engineering and Manufacturing
Manufacturing leaders are always looking for ways to improve productivity, quality, and speed. Often, making that happen is the domain of industrial engineering experts who study human movement at a granular level to identify actions, behaviors, and processes that can be tweaked, removed, or replaced. This is a slow, effort-intensive, and manual process of highly-nuanced supervision with a non-minimal risk of errors. These experts are also hard to find, and their time is expensive. Even after they do their study, the analysis takes time. Computer vision is now helping to transform this paradigm.
Core industrial engineering aspects like studying ergonomics, measuring cycle times, checking line balancing, etc. are being tied into CV platforms. This system can take all the factual data across the entire sample size, collate it quickly and completely, and present it to the experts in easy-to-analyze reports. This helps them to come up with better solutions faster. Applications are emerging across industries like automotive, medical devices, and others that are focused on adopting Kaizen, Six Sigma, and Continuous Improvement.
- Object Identification for Quick and Accurate Detection
Computer vision can easily identify and track objects in various settings. By eliminating the guesswork, computer vision allows humans to make quick and accurate detections about various areas.
For instance, this helps ensure the safety of workers by enabling real-time alerts and minimizing accidents caused by machinery malfunctions or unattended equipment. Similarly, security cameras with computer vision help in biometric authentication and eliminate the need for humans to supervise the monitoring activity, thus improving security. Also, computer vision can help people in the agriculture industry monitor and supervise the fields with the help of flyable drones to save valuable time and effort and improve effectiveness.
This isn’t about removing humans from the oversight process but about augmenting their capability to make good, accurate, and timely decisions in such crucial situations.
- Optical Character Recognition for Better Accuracy
Computer vision helps in identifying letters, numbers, and other symbols from images with enhanced optical character recognition. Computer vision can also help in scanning financial instruments like credit cards and cheques with great accuracy, eliminating the need for humans to examine, validate, or flag them. Other machine-readable documents like passports and driving licenses can also be similarly scanned. That enables systems to retrieve text fragments from printed documents and digital images and drive better decision-making in even complex and nuanced situations.
This capability can be applied to augment the impact in human-supervised situations in education, finance, and many other industries and even situations like border security, supervised access control, and the like.
- Risk Management for Improved Safety
Computer vision applications are most useful for safety and risk management in settings like warehouses, production lines, and construction sites. Employee safety has always been a top priority for all businesses and industries. Computer vision can help create a safe work environment by tracking employee activities and specifically issues like PPE guideline adherence, methods of using heavy machinery, and other practices.
That eliminates the need for safety managers to manually track each and every activity and leaves them free to focus on other crucial aspects that can help ensure the safety of employees.
- Enabling and Empowering Immersive Learning Experiences
Computer vision applications have already found innovative applications in the learning and education space. Bringing together CV platforms and Augmented Reality (AR) and Virtual Reality (VR) technology has enabled a wave of effective learning and training outcomes. It enables students to engage in hands-on activities by providing an immersive learning experience that is closer to the real world. That apart, CV is also being deployed in exam supervision and proctoring scenarios. Computer vision helps educational institutions detect potential instances of cheating during offline as well as online exams, ensuring fairness in the assessment process while eliminating the need for effort-intensive and invasive monitoring techniques.
Leverage the Massive Potential of Computer Vision with KamerAI
Computer vision has massive potential to transform various industries from construction, manufacturing, and finance to healthcare. Many businesses are leveraging its power to interpret visual data, track movements, recognize objects, enhance the immersive learning experience, improve customer experiences, and create new possibilities for automation. In many ways, this is helping humans supervise other team members and wider processes much better. Going forward, computer vision can be expected to transform the way we solve complex problems, interact with machines, supervise effectively, and usher in a new era of progress. Talk to us to discuss how computer vision can help you achieve your business goals.
