Pleora Technologies is expanding its eBUS Edge GigE Vision software transmitter with feature-based licensing tiers to help designers meet performance and cost demands as new 3D cameras, sensor-based imaging devices, and embedded and IoT products are deployed in machine vision applications.

The software converts cameras and embedded devices to fully compliant GigE Vision GenICam devices without investing in any additional hardware. By adding eBUS Edge to a CPU’s software stack, devices support GigE Vision compliant image transmission, can respond to control requests from a host PC, and integrate with off-the-shelf machine vision processing. The software has already been designed into several applications, including 3D and smart cameras and data transmission systems for medical imaging.

Feature-based licensing tiers for eBUS Edge support multipart, multi-stream 3D, 2D and 1D performance requirements for high-value imaging and sensor platforms and single-stream 2D and 1D transmission for price-sensitive cameras, embedded platforms, and IoT devices. The software is designed for both Intel and ARM architectures and is compatible with all sensor and camera types.

For 3D inspection, eBUS Edge converts 3D images and data into GigE Vision and GenICam compliant time-stamped data that is transmitted with associated metadata over low-latency Ethernet cabling. Data from multiple sensors, including 1D and 2D images, can be synchronized and transported in parallel using multiple streams. To simplify image processing, the 3D data is received, analyzed and displayed using off-the-shelf machine vision processing.

For embedded applications, eBUS Edge enables designers to develop small form-factor GigE Vision imaging and sensor devices that are easily networked and integrated with machine vision processing solutions. In these multi-sensor applications, embedded processing can make local decisions, transmit processed data to other sensors or standard vision processing technology, and respond to control requests from a host controller over a low latency GigE Vision Ethernet connection.

Pleora Technologies
www.pleora.com