As a content creator and freelance writer, I possess perhaps a love/hate relationship with it currently. Of course, I don’t want it to take over my ability to get work and stay working as a freelance writer. However, like much of technology, it’s here to stay, and so it’s best to work with it than try to work against it.
Visual AI has certainly evolved in many ways, and as a creator, I’m somewhat interested in how it’s trickling into all facets of life, from factory floors to the everyday lives of you and me.
*This is a collaborative post. Image Source
*This is a collaborative post. The Rise on the Factory Floor (Industrial AI)
In manufacturing, visual AI has seemingly revolutionized many aspects of the industry, with companies like Industrial Vision Systems readily available. From quality control to logistics and safety. Such advancements occurring on the factory floor itself include:
Predictive Maintenance and Inspection
The use of AI-powered cameras helps to analyze production lines in real time, helping with detecting defects, and is a lot faster than human inspection in comparison.
Vision-Guided Robotics
Robots that use cameras for identifying and sorting items in random orientations are helping improve adaptability, as well as lowering the need for rigid tooling.
Operational Safety
Visual AI monitors workplaces to detect hazards and ensure PPE compliance, as well as preventing accidents and reducing injuries.
Efficiency Gains
Manufacturers like Siemens and BMW are using AI-driven vision for quality assurance, additive manufacturing, and reducing scrap materials.
The Shift to Everyday Life (Consumer AI)
Visual AI has moved rapidly into the consumer sector, enhancing convenience and personalisation. A lot of us forget the amount of smart technology in the home that now makes use of AI technology.
Smart homes and security
Devices that use facial recognition and object detection to monitor the family home make use of AI-enabled cameras to identify visitors or potential intruders.
Autonomous vehicles
Self-driving technology companies rely on computer vision to help interpret road scenes, lanes, and obstacles, all in real-time.
Healthcare and diagnosis
AI analyses medical images to identify tumors or fractures early on, assisting doctors and, on occasion, outperforms manual analysis.
Retail and social media
Retailers use visual AI to analyze customer movements and to track inventory. Social media uses it to help categorise content and apply any augmented reality filters necessary.
Personal devices
The use of smartphone cameras uses computer vision for portrait mode as well as scene recognition. It also unlocks devices via facial biometrics, aka Face ID.
Key Drivers and Future Trends
With the convergence of AI and other technologies accelerating this transition, there are several future trends coming with the help of AI. A few examples include:
- Edge AI – Processes visual data locally on devices rather than in the cloud. Improves privacy, speed, and reliability for applications like factory sensors and agricultural robots.
- Multimodal AI – Future systems are combining vision with natural language processing and allow for visual question answering, where AI can analyse imagery and answer questions about it too.
- Human-Centric AI – The future involves AI as a co-pilot where vision systems are assisting operators, rather than simply replacing them.
The rise of visual AI is changing a lot of industries, including my own as a content creator. It’s important to find ways of making AI work for you, rather than trying to work against it. AI promises significant benefits for both productivity and convenience, but there are still some challenges regarding privacy and the need for ethical guidelines in surveillance and automation.
What do you think of AI? Are you for it or against it? Let me know in the comments below.
This is a collaborative post with IVMS. All words are my own.
