Can augmented reality bridge the skills gap in manufacturing?

An employment paradox has arisen due to automation in the manufacturing sector. While computers and robots have automated many mundane operations in recent years, new positions in industries like manufacturing continue to go vacant for lack of qualified candidates. For example, in July, the LCD factory Foxconn stated that it would be opening in Wisconsin.

However, the jobs created there would require different training than those already departed the state. Employers might use new technology to instruct employees in specific talents, just as new technology forces people to learn new skills.

One such technology is augmented reality bridge (AR), which uses sensors and a network connection to display pertinent information on a screen precisely when and where it is required. Augmented reality demonstrates that creative pairings of human labor and computers may solve the skills gap.


AR-adapted glasses aim to identify objects and present pertinent information on a tiny screen affixed to the frames using a camera and photo-recognition software. The digital display frees a worker’s hands to operate a tool or machine as they read instructions in a production setting, replacing the need for a printed manual or a supervisor.

These systems also feature speech recognition and touch controls to indicate whether a user is ready to proceed to the next phase. In addition, voice notes, photographs, and videos can be swiftly taken by employees to provide management with feedback on work operations. As a result, some businesses participating in AR pilot initiatives report efficiency gains of over 30%.

Though more firms are automating routine work, many non-routine tasks are still better handled by humans than by robots or artificial intelligence. Through the use of a superimposed digital interface over a physical world, augmented reality bridge can split labor between humans and machines, according to which is more effective.

After all, humans will still be required to create, assemble, and maintain robots. Nevertheless, augmented reality shows how technology may enhance human and machine skills beyond what they could achieve on their own.


New industrial occupations demand technical training beyond a high school diploma. Still, employers have shown reluctance to spend money on training when employees may transfer their talents to other jobs. Skills requirements could readily alter while a person is working toward a technical certification, as they will probably do during their career.

It would be advantageous for both workers and employers if there were a way to speed up training to keep up with shifting skill needs. Can reduce the amount of time spent in classroom education and on-the-job training by using augmented reality bridge to convey knowledge in the virtual physical environment where it is used. AR could make it easier for new and seasoned employees to learn new skills and transition to new positions.

Employers and employees are more adaptable to technological change when using a system that instructs employees and captures real-time feedback. Employers can hire personnel with a more diverse skill set because it is simple to upload instructions on how to utilize new machinery and carry out further operations. As outdated skills become more accessible to workers, they can learn new ones.

Faster skill acquisition has the advantage of preventing workers from leaving the workforce to update their skill sets and preventing companies from having to find replacements with knowledge of new technology. Employers and businesses can proactively adopt new technologies with augmented reality bridge rather than being replaced by them.

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