EVS' Overcam Wins IABM's Peter Wayne Golden BAM Award
Driven by machine learning, Overcam is a software solution that enables autonomous control of robotic cameras in live sports environments. It uses “smart tracking”, which is powered by EVS’ VIA Mind AI engine, to analyze key parameters of the game like players and ball positions in order to steer the cameras to frame the scene. Overcam has been developed to enable content owners to create more immersive productions by capturing the action from more camera angles more economically. The system enhances storytelling capabilities and can integrate with existing multicamera live production workflows where the robotic cameras can be mixed with manually operated cameras.
The IABM’s judges – a panel made up of more than 40 non-affiliated subject experts – praised Overcam for being "a very innovative and much needed solution.” They said: “With the explosion of live sports coverage and the need to reduce costs with remote production techniques, Overcam is a very promising solution for budget conscious live sports producers."
Nicolas Bourdon, SVP Marketing at EVS said: "This is the second time that EVS has won the Peter Wayne Golden BaM award in three years, with X-One also receiving it in 2017. This demonstrates why our new solutions are hitting the right note with judges and customers alike. It’s testament to our hard work and understanding of the direction that the industry is going in that we are able to deliver much needed innovation time and again.”
The debut iteration of Overcam is intended for live football, particularly smaller leagues where production budgets are tighter, but the system can ultimately be used for other sports such as basketball and hockey.