Use of Computer vision in Standard Operating Procedure analytics and Automation
Computer vision has established itself as a worthy addition in a gamut of industries. Including automobile, education, healthcare, e-commerce, agriculture and more. It has managed to create a niche segment for itself, making it an absolute essential for industries to maintain their position staunchly in the market. Here ICarta Technologies delves into the world of computer vision, particularly in automation.
While the top uses of Computer vision, such as image recognition, motion sensing, enabling autonomous vehicles have been discussed with much fervour and enthusiasm, the way manufacturing industries/ large scale factories can benefit out it, has been the newly discovered trend which industry leaders have been swarming to.
Digitising business processes has become a necessity during this pandemic, especially with the social distancing and temperature monitoring becoming a mandatory act, industries are suiting up with AI and Computer vision.
However, the dialogue about the uses of computer vision has been solely limited to maintaining the safety of a manufacturing unit/large scale factory, but there is yet another important aspect which can substantially benefit because of it.
Which is the 'automation of standard operating procedures.'
A report by McKinsey and Company notes that AI-driven predictive maintenance can increase asset productivity by up to 20% and reduce maintenance by 10%.
By analysing through heavy data, it can present executable insights, including root cause analysis, thereby reducing the fre-quency of the unplanned downtimes or asset failure.
With Amazon and Alibaba being the trailblazers in the deployment of Computer Vision (CV) at their warehouses to streamline their operations, the use of CV for automating the standard operating procedures is not a dream of the future, instead it is the reality which industries should start embracing without much ado.
By integrating Computer Vision (CV) with the standard operating procedures, we can not only understand the pain points and lags that an individual experiences during the execution of the task, but also predict the potential doom that can occur due to the unseen circumstances or ignorance gained out of years of work experience.
The use of RPA helps in galvanising the agility of the manufacturing oper-ations, reducing the frequency of errors substantially.
Robotic Process Automation is one of the many wonderful extensions from AI.
Thus completely nullifying the chances of mistakes that occurs out of ignorance from the experienced skilled labourers performing repetitive and mundane tasks.
More over, CV provides a combination of real-time, live feed from cameras, and video analytics algorithms that allows perforce with greater efficiency and improved safety.
With its ability to provide agile decisions and inputs based on visual data without the need for manual data entry makes it a noteworthy option which industries must equip themselves with to avoid unprecedented hiccups.
Has your industry stepped up its Computer Vision game yet ?