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Image Annotation/Tagging in Autonomous Vehicles

Movies give us a glimpse of what the future holds. From smart phones, tablets, facial recognition, virtual reality and now self-driving cars. The idea of a vehicle that can run itself seems like something straight from science fiction. Fortunately for us, this is a reality but have you ever thought of how driverless cars are made possible?

Elon Musk recently announced Tesla will have fully autonomous vehicles by 2020. This is good news but what he left out of the speech is the manual aspect that makes autonomous driving possible. Big tech companies prefer not to talk about this, they prefer to say is “machine learning” magic. Truth is, the road to fully autonomous vehicles requires a lot of human input.

Companies dealing with autonomous driving technology employ hundreds if not thousands of people. They work in offshore outsourcing centers in India, Philippines and Kenya which is emerging as an African giant in the BPO industry. The workers job is to basically teach the robo-cars how to recognize pedestrians, cyclists, poles and other obstacles. This is done by manually marking and “labeling” thousands of hours of footage, often frame by frame. These videos are taken from vehicle prototypes driving around testbeds in Silicon Valley, Pittsburgh and Phoenix.

Given the dynamic nature of the outdoor environment, companies should ensure their team remains intact for some time. Despite the huge leaps forward in Artificial Intelligence and sensor quality that serve as the foundation of the driverless revolution, humans will still be needed for many years to come. Drawing boxes around new obstacles, highlighting road signs will always require human input to keep the systems fresh.

Machine learning is a myth, computers “learn” by being fed an array of manually labelled information which they then use as a model to identify objects and patterns when they encounter them again. The annotation process is a very hidden part in autonomous vehicle development that companies never mention. For the workers, annotation is a super painful and tiresome process given the level of accuracy required in autonomous cars.

Having seen the amount of work that comes with image tagging and annotation, it’s a worthy reminder that fully self-driving cars will be a plus for society. With self-driving cars, we can envision accidents being a thing of the past. Computers don’t get drunk, check social media feed or fall asleep while on the wheel.

Company, Social Impact, Technology

Benefits of Outsourcing Transcription Services.

Outsourcing Transcription Services

Subtitling and Captioning Services in Kenya

In this knowledge era, organizations all over the world find information very important and maintaining a dedicated resource to note down points of importance is proving to be tiresome and time consuming. In today’s world, information is recorded by organizations with the help of audio and video equipment and later converted into a written form in a process called transcription. Many organizations are now outsourcing these transcription work to oversees countries with reliable teams and affordable services.

Businesses like market research organizations, financial institutions, movie production companies and legal firms mostly use transcription services, and outsourcing transcription services has proved to be a much quicker, time saving and cheaper process than hiring in-house transcribers. For companies seeking to outsource transcription services, here are a few advantages that come with the service:

Advantages of transcription

  1. Short turn-around time.

Most transcription companies guarantee a TAT of less than 24 hours but it always depends on the load of work given and the number of workers. Experienced professionals type and proofread the work so as to ensure accurate and properly formatted final transcripts.

  1. Save money and resources.

When organizations outsources transcription service, they reduce capital investments, expenses and overheads, resulting in significant savings and increased profitability.

Outsourced work to professional transcribers helps the client save on computers, management of workers, furniture and office space for your workers.

  1. Time to grow the business.

Investing in outsourced transcription allows managers to focus on more important aspects of their business. Companies save time and money when they outsource transcription services, hence funding other projects.

  1. Improve ranking of your website.

Getting your website ranked higher on search engines is a great way to grow your podcast audience. Search engines like google and yahoo don’t recognize content in videos and podcasts. By transcribers typing videos and podcasts, the keywords used in the text helps improve search engine optimization (SEO). End users who see TED talks, usually have great experience and clear understanding since the videos are all typed out.

  1. Lowers risks.  

Hiring in-house transcribers comes with a number of risks. Most companies find it intelligent to outsource their transcription work to experienced and more managed workers. Outsourcing transcription means that that provider is assuming full responsibility for specific types of risk, including the management of it all. In short, professionals in this field know how to handle some certain risks, meaning less stress.