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Ericsson Connected Machine Vision

ECMV: the machine vision solution that’s accelerating smart manufacturing

Manufacturing will never be the same again: the industry has taken a quantum leap forward in the past 12 months with smart factories becoming a core component of Industry 4.0. Designed to meet the needs of today's market, these high-tech factories of the future are more computerised, connected and digitised; providing technological solutions to address specific pain points. One such solution is the Ericsson Connected Machine Vision (ECMV), a software platform that’s enabling enterprises to introduce machine vision solutions in their production lines – dramatically accelerating innovation.

What is the Ericsson Connected Machine Vision (ECMV) software platform?

ECMV is a revolutionary software platform that enables an easy to use, cost efficient and highly flexible machine vision solution for the manufacturing industry. It uses cutting-edge artificial intelligence to support multiple cameras and multiple use cases through a single systemmaking this solution easy to scale and meet the specific needs of multiple production lines and factories.  

High performance

High performance

Leverage leading edge AI algorithms to enable higher accuracy and better tolerance in a real manufacturing environment.  

Easy to use

Easy to use

A prepacked, plug-and-play software solution that’s simple to install and use. Offers remote access and maintenance.  

easy to scale up

Easy to scale up

Support multiple cameras, multiple workstations and multiple production lines through a company-wide platform.



Enables direct cost saving on hardware. Significant benefits on operations due to the flexibility and improved performance.  

Issues faced by conventional machine vision solutions:
Limited performance. Data models are pre-determined and system accuracy is highly impacted by the manufacturing environment. Higher cost. A single camera system costs USD 10,000 above. This investment becomes redundant when an enterprise scales up. Not flexible. Standalone solution for single task and strictly routine work. Difficult and costly to modify.
Main benefits of ECMV:
Better performance. Accuracy can reach more than 99 percent due to powerful AI algorithms. Cycle time can be reduced to seconds instead of minutes or more. Easy to scale. Supports multiple cameras and multiple production lines through a company-wide platform. Easy to use. As a pre-packed software solution, it can easily plug-and-play into the existing IT infrastructure. End-to-end implementation of a machine vision solution can be achieved in less than 30 days. Significant cost savings. Not only due to hardware but also the enhancement of operational efficiencies.


How is the ECMV different?

The majority of conventional machine vision solutions are standalone and highly integrated hardware products. This means they require specially designed hardware and software in a bundle and can only perform one-off tasks. In contrast, ECMV uses a new solution architecture that decouples software and hardware and leverages the cloud-edge infrastructure. ECMV can support multiple connected cameras and easily deploy new features – making the solution much more flexible and expandable. This allows enterprise customers to introduce machine vision solutions in their production lines at a significantly lower cost. 

A significant cost reduction

Real-world testing has demonstrated enterprises can significantly reduce their costs by switching to ECMV, with overall savings expected to increase further when more cameras are connected to the system. Connecting multiple cameras into the platform makes it easier easy to reconfigure and scale up when needed.  Furthermore, our advanced AI technology ensures quick converging, enabling better performance and higher tolerance in a real manufacturing environment.   


Easy to reconfigure and scale

With manufacturers moving from massive production to flexible production, it’s unlikely a production line will produce the same product in exactly the same way for months or even days. To meet the need for flexible production, the product line design must be easily adaptable for new products, new materials and new processes. This requires cameras used for visual tasks to be adjusted accordingly. To reconfigure a conventional machine vision solution usually takes at least several days and requires specially trained engineers. In contrast, ECMV can be updated over-the-air and reconfigured by a non-expert engineer in just hours.


Looking ahead: Future use cases

The use of standalone machine vision solutions in production facilities is causing isolated information silos an I.T. management headache. To tackle this issue the need for a company-wide machine vision platform, such as ECMV, is growing in the manufacturing industry. This demand opens the door for a plethora of new use cases.  

The team

Sonny Wang

Sonny Wang 

Sonny is currently Head of Innovation Strategy at Ericsson ONE’s Beijing Hub, He is a veteran in business management and driving new businesses and innovations in global IT companies. He is also a serial entrepreneur and founded several startups in the area of mobile technology

Speaking about ECMV, Sonny says: “We really appreciate all the encouragement and feedback from our customers, partners and colleagues. When they say, I love this idea/solution, it’s the ultimate reason we have worked so hard to make this happen!”

Hui Weng

Hui Weng

Hui has extensive project management experience, especially in relation to smart manufacturing. He currently works as the Smart Manufacturing Program Manager at Ericsson’s BNEW Supply Site in Nanjing, China.  

"The unprecedented changes of this century have increased our need for connectivity, and this was the mission I had when I joined Ericsson; to use my wisdom to create even better products and make the world more connected." 

Baok Liang

Baok Liang 

An AI expert, Baok works as a smart manufacturing technical leader at Ericsson’s BNEW Supply Site in Nanjing, China. He is extremely passionate about designing and developing AI products that foster business growth. He is currently leading multiple smart manufacturing-focused innovation programs.  

“I want to drive change, to be a ‘Watt’ for Industry 4.0 – I want to power change using AI machine vision to improve the manufacturing industry. I am extremely proud that our customers have been deriving immense value from our solution.”