Translating Deep Learning Vision Models into deployable solutions is time consuming and expensive. A typical solution requires several software components to be developed both in cloud and embedded edge devices increasing time-to-market. A vision centric company has to hire and retain a team of engineers specialized in IOT, Embedded systems and Cloud technologies increasing its operational costs.

Laneyes’ Edge AI platform, Argus, is a cloud based software platform(PAAS) that simplifies remote deployment & management of Edge devices running Deep Learning based vision solutions. By providing templates for most common use-cases solutions, the platform enables a zero-code instantaneous deployment of Deep Learning models thereby drastically reducing time-to-market. Argus architecture gives flexibility to support any vision AI application by providing hooks for extensible plugins.

Currently we support Coral (by Google), Nvidia Jetson, and Intel based edge devices. Because our solution i...
Translating Deep Learning Vision Models into deployable solutions is time consuming and expensive. A typical solution requires several software components to be developed both in cloud and embedded edge devices increasing time-to-market. A vision centric company has to hire and retain a team of engineers specialized in IOT, Embedded systems and Cloud technologies increasing its operational costs.

Laneyes’ Edge AI platform, Argus, is a cloud based software platform(PAAS) that simplifies remote deployment & management of Edge devices running Deep Learning based vision solutions. By providing templates for most common use-cases solutions, the platform enables a zero-code instantaneous deployment of Deep Learning models thereby drastically reducing time-to-market. Argus architecture gives flexibility to support any vision AI application by providing hooks for extensible plugins.

Currently we support Coral (by Google), Nvidia Jetson, and Intel based edge devices. Because our solution is developed using Linux constructs, any Linux based device, including the current ones already in the field, can be converted to remotely managed AI nodes.
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Subhash Balam
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Subhash Balam CEO Entrepreneur with a passion develop next generation products that have a meaningful impact on the society.