IREX - Collaborative Security and Searchveillance

IREX - Collaborative Security and Searchveillance IREX is a multi-functional platform that combines artificial intelligence, cloud technology and big data.

Hello from Chattanooga. IREX is here at JAILCON26 Southern 🤝For corrections teams, reviewing video is part of daily work...
10/14/2026

Hello from Chattanooga. IREX is here at JAILCON26 Southern 🤝

For corrections teams, reviewing video is part of daily work: checking alerts, finding relevant clips, or piecing together incident sequences.

Visit us at Booth #77 to see how IREX’s video analytics and investigation tools connect these tasks, and let us know what your facility expects to achieve by using them.

Stop by between sessions and meet the team.

Not every entry into the opposite lane means an overtaking violation, and treating every instance as such is incorrect.T...
10/12/2026

Not every entry into the opposite lane means an overtaking violation, and treating every instance as such is incorrect.

The new overtaking detection in the IREX Traffic module records the violation only when all the conditions are met: a vehicle crosses the signal line against the permitted flow, enters the opposite lane, and another vehicle is detected in the linked speed-control zone traveling above the configured speed limit, all within the configured time interval.

In other words, the system looks for evidence that the maneuver actually involved passing another vehicle, rather than labeling every opposite-lane entry as overtaking.

Such accuracy provides operators with a clearer understanding of the situation, delivering a reliable and verifiable traffic event.

More https://irex.ai/news/irex-traffic-module-ai-detection-for-overtaking-violations/

A person is lying on the floor, but the next scheduled security round is still some time away.StreamVLM™ allows operator...
10/08/2026

A person is lying on the floor, but the next scheduled security round is still some time away.

StreamVLM™ allows operators to describe this condition in plain language: “Detect a person lying on the ground.”

IREX analyzes live video from the selected cameras for the defined criteria and generates an alert for staff review. Officers then review the video, assess the situation and follow the facility’s protocols.

Operators can define a new detection scenario using a prompt, without the need to collect a new dataset or train a separate model 📹

StreamVLM currently operates in beta on selected IREX deployments. It supports staff review alongside scheduled security rounds.

At JAILCON26 Southern Conference, visit Booth 77 to discuss this scenario and learn what evaluating it at your facility would involve.

October 13–15 · Chattanooga, TN

New in the IREX Traffic module: overtaking violation detection. 🚗Crossing a median line to pass another vehicle can crea...
10/06/2026

New in the IREX Traffic module: overtaking violation detection. 🚗

Crossing a median line to pass another vehicle can create serious risk for everyone on the road. The module already detected vehicles driving into the opposite lane. Now it can tell two related but different situations apart:

🔹 Driving into the opposite lane: a vehicle crosses the signal line against the permitted direction and enters the oncoming lane, whether or not it’s passing another vehicle.

🔹 Overtaking: a vehicle crosses into the opposite lane to pass another vehicle, while that other vehicle is traveling above the configured speed limit in a linked speed-control zone. Here the system detects both the vehicle making the maneuver and the one being overtaken.

The two can begin with the same action. The difference lies in the situational context.

Operators can then search specifically for overtaking events, review the snapshots and footage, and confirm exactly how the maneuver occurred.

For the past decade, adding new functionality to a video analytics system meant building entire AI models from scratch. ...
09/16/2026

For the past decade, adding new functionality to a video analytics system meant building entire AI models from scratch. That used to be a lengthy and expensive development cycle, requiring teams to build, train, and validate custom AI models.

Today, we’ve changed that 🔥

Meet StreamVLM™, a Vision-Language Model detection engine that turns a simple plain-language description into a functional video detection. Just input a descriptive criteria (i.e., «detect a person lying on the ground», «alert when graffiti appears on a wall», «identify flooding in the underpass»), and the system instantly begins searching for that specific scenario across selected cameras, without any prior dataset creation or model training ✔️

«Public safety agencies have endless monitoring needs but limited resources to build individual models», says Serge Smirnoff, Head of PR at IREX. «StreamVLM completely transforms how camera networks operate. It’s no longer a data science project, but a sentence typed in by an officer who is familiar with the neighborhood, the station, or the campus».

We believe everyone deserves to live in safety.IREX makes this practical by connecting cameras and sensors into a secure...
09/14/2026

We believe everyone deserves to live in safety.

IREX makes this practical by connecting cameras and sensors into a secure, private cloud. Our Ethical AI and Big Data platform analyzes data in real time and helps agencies prevent and investigate incidents. Accountability is built into our design: every high-risk AI activity is linked to a unique Case ID and logged in a non-erasable audit trail.

Building cities of the future: safe, comfortable, and sustainable.

With thousands of passengers moving through metro stations every hour, every second counts. IREX transforms major metro ...
09/10/2026

With thousands of passengers moving through metro stations every hour, every second counts. IREX transforms major metro networks by converting existing CCTV into real-time safety tools, resulting in 16 life-saving interventions in a single year at one station alone.

Four essential things it watches for 👉 swipe.

Mongolia has deployed IREX’s multi-camera traffic analytics at a national scale.IREX’s multi-camera traffic analytics ar...
09/08/2026

Mongolia has deployed IREX’s multi-camera traffic analytics at a national scale.

IREX’s multi-camera traffic analytics are now being used nationwide across Mongolia. The system covers the entire country, including the capital Ulaanbaatar, to manage enforcement for red-light violations, stop-line infractions and lane-direction rules.

Beyond just catching violations, the system provides real-time congestion detection and calculates average speeds between junctions, equipping transportation authorities with actionable data to improve traffic flow and road safety across cities and rural areas.

The IREX platform operates on your existing camera infrastructure to transform everyday traffic footage into enhanced road safety for the entire country.

In August, three clear patterns stood out in the approaches cities take to select and purchase public-safety AI.1️⃣ The ...
09/08/2026

In August, three clear patterns stood out in the approaches cities take to select and purchase public-safety AI.

1️⃣ The deciding factor for renewals is control. Throughout the month, councils were focused on voting for amendments like data retention, outside-agency sharing and audit rights, rather than evaluating the actual efficiency of the AI.

2️⃣ Operational control is a fundamental aspect of security. The primary story this month wasn’t a breach, but equipment changing state without the owner’s knowledge.

3️⃣ Architecture is essentially a budget line. Because subscription models often scale with compute costs, they can quickly strain fixed public budgets. Therefore, agencies are turning to CPU-first, agency-owned infrastructure as a necessary financial buffer.

So, the key questions for any video-AI vendor this September are:

✔️ Who controls the data, the logs, and the switch?
✔️ What assets remain available after the contract ends?
✔️ How will rising compute expenses affect pricing by year three?

IREX delivers the control agencies need. Our platform ensures you have agency-owned data, non-erasable audit logs, access to 20+ analytics modules on existing infrastructure, and the financial predictability of a CPU-first model.

Which of these three areas is your top priority this autumn?

In reality, actual crosswalks look nothing like clean model-training data 🎥Standard perimeter-focused models struggle wh...
09/03/2026

In reality, actual crosswalks look nothing like clean model-training data 🎥

Standard perimeter-focused models struggle when analyzing top-down CCTV footage because of the visual noise from zebra markings, traffic lights, road signs and dense traffic. They often mistake distant objects, partially obscured figures and even vehicle passengers for pedestrians, resulting in unreliable data, which leads to missed detections or false alarms.

To improve performance, our R&D team is creating a new AI-training pipeline using actual crosswalk footage that integrates domain-specific examples with filtered existing data. We are currently testing two approaches: fine-tuning our existing model or training a new one from scratch using manually labeled, real-life video samples.

«We are focused on teaching our models to view a crosswalk through the eyes of a professional human operator,» said IREX spokesperson, Serge Smirnoff. «When we get pedestrian movement detection right, everything else follows: fewer false alarms, more consistent tracking, and reliable violation data that we can confidently stand by.»

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