The JeVois-Pro deep learning smart camera is an open-source piece of equipment that will offer users with access to deep learning photography technology in a compact design.
The camera boasts open-source hardware and software to enable a fully programmable design that will enable powerful machine vision and even deep learning algorithms to be performed right inside of it. This makes the camera well-equipped to handle the demands of surveillance systems, drones, home automation systems and more by enabling more of the workload to be performed inside the unit.
The JeVois-Pro deep learning smart camera features a six-core 2 GHz CPU, a quad-core GPU, 4GB of RAM, a 1080p camera lens, a microSD card slot, two USB ports and more.
Open-Source AI Smart Cameras
The JeVois-Pro Deep Learning Smart Camera is Fully Programmable
Trend Themes
1. Open-source Hardware - The trend of open-source hardware allows for fully programmable designs that can facilitate deep learning algorithms and powerful machine vision capabilities.
2. Compact Cameras - The trend of compact cameras with high-power capabilities opens up opportunities in surveillance, drone technology, and home automation systems.
3. Deep Learning Photography - The trend of deep learning photography technology allows for smart cameras to process information on-site, which reduces the workload on the cloud and enables faster, more responsive results.
Industry Implications
1. Home Automation - IoT companies working in home automation can leverage open-source, fully programmable smart camera technology to improve home security and automate tasks.
2. Surveillance - Surveillance companies can use compact deep learning cameras to improve the accuracy of object recognition and tracking, increase reliability with on-premise processing, and reduce bandwidth requirement by avoiding cloud data transfer.
3. Drone Technology - Drone manufacturers can integrate powerful, fully programmable smart cameras into their products to improve flight capabilities by enabling advanced navigation features, on-premise object detection, and better image processing and recognition capabilities.