Achieve low latency, privacy and lower costs with Edge AI
Edge AI enables more intelligent, responsive, and efficient systems that can handle complex video data processing tasks autonomously.
iENSO’s Embedded Vision Camera platform is designed for AI compute at the edge with Ambarella’s advanced CVflow® AI engine that scales to trillions of operations per second with extremely low power consumption.
Edge AI that fits your needs
Deploy your own algorithms with the iENSO EVPaaS SDK.
Use pre-integrated 3rd party ML models for IoT, surveillance, drones, dash cams, audio and more.
Leverage publicly available transformers-including vision-language models, large language models, and others-to create innovative applications and user experiences that take advantage of the latest advances in Al, including generative Al.
Deploy your cloud ML models at the edge to achieve lower latency, stronger privacy and security, longer battery life, greater reliability, and reduced recurring costs.
Traditional CNN vs Generative AI/VLM
Since CNNs excel at object detection, combining them with VLMs provides for optimal performance
Removing the Barriers to Edge and Gen AI in Embedded Vision
The introduction of artificial intelligence (AI) has ushered in exciting new applications for surveillance cameras and other devices with embedded vision technology. Tools like generative AI (gen AI), ChatGPT and Midjourney are augmenting computer vision-based results. At the same time, gen AI-based…
iENSO hardware supports traditional CNN-based models, as well as state-of-the-art (SOTA) vision language models (VLMs), for both on-device and centralized on-premise ‘AI hub’ or centralized domain controller applications with exceptional multimodal video intelligence.