Enterprise Technology

CrowdOptic's patented real-time analytics, proprietary streaming capabilities, and highly scalable architecture power a turnkey, live streaming platform for Google Glass and other wearable devices. CrowdOptic technology enables the enterprise partner to onboard quickly and scale the live streaming areas of their business from a secure web-based platform.


CrowdOptic's technology is protected by U.S. Patent 8,527,340, U.S. Patent 9,020,832, Australia Patent No. 2012225536, Japan Patent No. 5530572, Japan Patent No. 5775196, Korea Patent No. 10-1383238, Canadian Patent No. 2,829,597, China Patent No. ZL 201280020614.5, plus six U.S. and three international patents pending.
Live Video Streaming

Live Streaming


CrowdOptic optimizes wearable devices by stripping unnecessary consumer applications and preparing them for use in the enterprise. The resulting devices are configured for privacy and suitable for use in highly sensitive environments.


Device hardware resources are also modified to produce the highest quality video. Once a device is optimized, it needs to have the ability to connect and maintain a steady stream in any environment. CrowdOptic offers companion devices the ability to stream over licensed and unlicensed frequencies in the toughest RF environments.


Having the right tools to control access and manage assets is critical for successful implementation in enterprise environments. A secure, web-based console and a powerful database grants users role-based access, manages devices by tracking usage, and performs automatic over-the-air software updates. CrowdOptic extends stream access and two-way audio communication across devices to enable mobile personnel to actively participate with the event from the field.

Real-Time Clusters

Real-Time Analytics


CrowdOptic's patented analytics can instantly identify the best video from many simultaneous devices based on where the cameras are focused and from the video quality metadata of each stream.


Determining the best stream based on where the cameras are focused, involves analyzing device sensor data, such as GPS location, compass and accellerometer in real time. The analytics engine calculates device sightlines from each camera and intersections of these sightlines to instantly to identify significant areas of focus called clusters or clusters of focus.


Using video quality metadata to determine the best video stream occurs the instant the stream hits the CrowdOptic server in the cloud, before even a cluster can be determined. The video quality metadata (i.e. frame rate, bit-rate, resolution, etc.) is used to create a quality of stream (QOS) value, which is then compared with the value of other video streams, to determine the highest quality video.