5G/CBRS CAMERAS THAT HARNESS THE POWER OF AI TO BOOST EFFICIENCY, ENHANCE SAFETY, AND TRANSFORM YOUR OPERATIONS
We help drive private 5G/CBRS adoption with computer vision solutions that deliver tangible enterprise ROI while creating auxiliary monetization opportunities through subscriptions and inference computing.
AI Vision Solutions Designed to Scale with Your Ambitions
Our AI-powered computer vision components aren’t just tools; they’re partners in innovation.
Imagine streaming real-time data via 5G from the most remote corners of your operations. Picture a pop-up computer vision solution detecting safety violations at temporary work sites. Envision transforming CBRS networks into AI inferencing engines, processing critical AI workloads on-premises—turning latency into immediacy and infrastructure costs into revenue streams.
Our proven approach ensures you stay agile, efficient, and ready for what’s next.
Our Tools for Transformation
We equip carriers, systems integrators, and enterprises with:
Industrial-Grade Cameras: Embedded with 5G/CBRS connectivity for real-time data streaming in any environment.
AI Models, Your Way: Choose ready-to-deploy solutions or custom-built models tailored to your industry’s unique challenges.
Intuitive Dashboards: Monitor, analyze, and act on insights with user-friendly interfaces.
What is Computer Vision AI?
Computer Vision (CV) is a branch of Artificial Intelligence (AI) that enables machines to interpret and understand visual data from cameras or sensors. In essence, CV allows machines to "see" and comprehend the visual world, much like how humans use their eyes and brains to process what they see. Instead of relying on human operators to review footage, a CV system can automatically detect objects, analyze scenes, and trigger real-time actions—such as sending alerts—based on the visual input it receives.
By interpreting visual data in real time, computer vision systems can detect issues often undetectable to the human eye and help organizations improve efficiency, accuracy, safety, and security. In short, computer vision turns cameras into intelligent sensors that can automate visual monitoring and analysis, forming a key part of modern intelligent automation.
Source: Pexels
AI, 5G, and Edge Intelligence
AI is the core driving force behind advancements in computer vision. Deep learning algorithms and neural networks enable CV systems to achieve higher levels of accuracy and perform more complex tasks.
5G's high bandwidth and low latency capabilities are essential for enabling real-time computer vision applications, especially those involving high-resolution video streams or remote locations. 5G allows for faster data transmission and processing, which is critical for CV systems that must react quickly to visual input.
Edge Intelligence: Processing data closer to the source (at the "edge" of the network) is crucial for reducing latency and enabling real-time decision-making in CV applications. Edge computing allows CV systems to analyze data locally on devices like cameras or edge servers instead of relying on cloud processing, which can be slower due to network delays.
