Warehouse accidents remain among the most common in the logistics sector. Manually verifying that every operator is wearing a safety vest, helmet, and safety shoes at all times is an impossible task. AI-powered video analysis automates this verification in real time.
Here, we outline the key points to help you understand how computer vision detects PPE usage, identifies high-risk areas, and reduces accidents at your logistics sites. XXII is already supporting logistics companies in this effort through its CORE platform.
Computer vision algorithms analyze each frame of the video feed to identify the presence or absence of a high-visibility vest, a hard hat, or safety shoes. This detection occurs in real time, without interrupting ongoing operations on-site.
The CORE platform connects directly to your existing cameras. It identifies non-compliant workers entering critical areas, such as shipping docks or material handling aisles. The safety manager receives the information before the risk materializes.
Pedestrian-forklift crossings, loading docks, and one-way aisles account for the majority of incidents in logistics environments. Video AI maps these areas by analyzing trajectories, traffic densities, and the frequency of risky situations during each time slot.
According to an EU-OSHA report on AI and occupational health, real-time video analytics systems offer a concrete opportunity to improve occupational risk prevention at industrial and logistics sites. These risk maps are continuously updated.
An operator enters a loading dock without a safety vest. The AI detects this within seconds and triggers an alert to the on-site supervisor. This type of response reduces the time between risk detection and corrective action to just a few moments.
On the XXII logistics platform, alerts can be configured by zone, by type of PPE, and by time slot. You can tailor the rules to the operational reality of each warehouse. This level of granularity is key to ensuring the relevance of notifications.
One of the barriers to deploying an AI solution in a warehouse is infrastructure cost. XXII addresses this challenge: the CORE platform works with the cameras already in place at your sites, without additional sensors or network changes.
This strategic choice accelerates the time between deployment and the first measurable results. It also lowers the barrier to entry for operations managers who want to test the solution at a pilot site before rolling it out across their entire facility network.
Beyond PPE detection, video AI records near-misses between pedestrians and material-handling vehicles. This data feeds into your lessons learned and risk analyses with objective facts that are time-stamped and geolocated by zone.
The CORE platform detects risky situations involving multiple workers in the same area and wrong-way traffic in aisles. You can identify high-risk areas before an accident occurs. This concrete data strengthens your case to management for prioritizing corrective measures.
Video analytics in warehouses raises legitimate questions about the protection of personal data. Choosing a solution that complies with the European GDPR is a prerequisite for any deployment, not a secondary consideration. Verify that your partner guarantees native anonymization of the processed data streams.
XXII develops tools for operational performance, not for identifying individuals. The distinction between operational data analysis and biometric identification is a founding principle of the CORE platform. This approach ensures respect for the privacy of every operator on the ground.
A computer vision deployment in a warehouse produces measurable results quickly. Key metrics include the PPE compliance rate by zone, the number of near-misses detected, and the average response time after an alert.
Every XXII project is built around operational objectives that can be measured within the first few weeks. The CORE platform centralizes these KPIs on a collaborative interface accessible to both field teams and management. Every decision is grounded in data, not intuition. This is essential for evidence-based safety management.
Not all video analytics solutions are created equal. For your warehouse, evaluate five key criteria: compatibility with existing infrastructure, GDPR compliance, real-time processing capability, coverage of security use cases, and quality of on-site support.
We’ve detailed these criteria in a dedicated article. The goal: to enable you to evaluate each technology partner on factual and operational grounds. XXII publishes these criteria because trust is built on transparency, not on promises.
Accident prevention in warehouses relies on the ability to monitor physical flows in real time. Automatic PPE detection, identification of high-risk areas, and instant alerts form a concrete and measurable operational trio.
XXII gives you access to these capabilities via the CORE platform, by connecting to your existing cameras and complying with the GDPR framework. If the safety of your warehouse teams is a priority, request a demo to evaluate the results in your own environment.
Computer vision algorithms analyze every frame of the video feed to identify vests, helmets, and safety shoes. XXII detects these items in real time via the CORE platform, directly on your existing cameras.
No. XXII connects to the cameras already installed at your site. The CORE platform works with your existing infrastructure, which speeds up deployment and reduces upfront costs.
Yes, if you choose a solution designed for that purpose. XXII uses a non-biometric approach and never identifies individuals. The analysis focuses on operational flows, not on people.
Computer vision solutions typically detect high-visibility vests, safety helmets, and safety shoes. Other specific equipment can be added based on the site’s needs.
With XXII, the first measurable results are available within the first few weeks of deployment. Key metrics include the PPE compliance rate and the number of near-misses detected on-site.
Yes. By analyzing movement patterns and foot traffic density, the system maps areas where pedestrians and vehicles cross paths and identifies congestion points. XXII identifies these areas through real-time analysis of physical traffic flows.