AI Video Intelligence for Your Existing VMS

EyesOnIt is a computer vision-powered video monitoring platform that integrates seamlessly with existing surveillance systems using RTSP video streams. It enhances traditional VMS platforms by allowing users to define detection rules using natural language, no coding or scripting required. Whether you need to monitor for intrusion, smoke, loitering, or specific objects, EyesOnIt delivers real-time alerts with high accuracy and minimal false positives. EyesOnIt adds AI video monitoring, live alerting, and natural-language video search to existing camera and VMS environments. Security, operations, and integration teams can describe people, vehicles, objects, or events in plain language and review relevant results across live or recorded video.

Users type a plain-language description such as person in red hoodie near entrance, vehicle stopped near loading dock, or smoke near dumpster. EyesOnIt searches supported live or recorded video workflows and helps surface relevant cameras, timestamps, clips, and confidence indicators where available.

EyesOnIt is designed to work with existing camera and VMS environments; compatibility should be confirmed for each deployment. The safer phrasing in your claims review is exactly right here: “Designed to work with existing camera and VMS environments; confirm compatibility for your deployment”

EyesOnIt uses computer vision and patent-pending natural language forensic search technology to process live or archived video streams. Users describe what they want to detect using plain English—such as “person climbing fence” or “vehicle stopped in lane”—and EyesOnIt identifies the event with confidence scoring and sends immediate alerts. The system runs on-site for low-latency, low-bandwidth operation and keeps your video data private.

Setting up EyesOnIt is simple:

1. Enter your RTSP video stream URL and define a monitoring zone.

2. Describe what you want to detect using natural language (e.g., “person loitering,” “vehicle stopped”).

3. Receive real-time alerts and confidence graphs, all without sending video to the cloud.

4. The platform works with any IP camera setup and supports Windows or Linux deployments—CPU or GPU.

If you can describe it, EyesOnIt can likely detect it, thanks to its AI model trained on 2 billion images.

Teams can search by plain-language descriptions such as clothing, objects, locations, activities, vehicles, safety conditions, or suspicious behavior. Example use cases include intrusion review, loitering, PPE checks, smoke or fire indicators, traffic flow, object counts, and person-of-interest workflows.

EyesOnIt is designed to help teams search across authorized camera networks instead of manually reviewing each stream. Results depend on camera count, hardware, configuration, indexing, video quality, and the specific deployment.

EyesOnIt can run in self-hosted or on-site deployments on supported infrastructure. Self-hosted EyesOnIt deployments do not require EyesOnIt cloud video-processing fees. Customer infrastructure, licensing, support, connectivity, and third-party service costs may still apply.

Yes. EyesOnIt can help reduce false alarm workload by validating visual events before teams respond. Instead of relying only on basic motion triggers, teams can define more specific visual conditions so alerts better match the activity they actually care about.

Yes. EyesOnIt supports image-based similarity search where image quality, camera coverage, and indexed data support matching. Teams can use an image or visual reference to help search for similar people, vehicles, or objects across supported video workflows.

EyesOnIt supports face recognition workflows where enabled, approved, and appropriate for the organization. Because face recognition can involve privacy, policy, and legal requirements, each deployment should be reviewed based on the organization’s use case, location, and internal governance.

Yes! EyesOnIt offers a free demo where you can upload your own images to test detection performance. We also provide a free proof of concept, where our team collaborates with you to build and validate a tailored solution for your use case. Both options allow you to evaluate accuracy, integration, and performance risk-free before committing.

Before requesting a demo or proof of concept, it helps to know your current VMS or camera setup, approximate number of cameras, primary use case, deployment preference, and a few example events or searches you want EyesOnIt to evaluate.