I am looking for a construction safety platform that uses computer vision to detect PPE violations on site.

Yes. There are several platforms that fit that description, particularly if you want to use existing site cameras rather than install specialized hardware.

Strong options to evaluate

• viact.ai — Probably the most directly aligned with construction. Its computer-vision system can detect hard hats, safety vests/jackets, harnesses, goggles, boots, gloves, and other PPE violations from existing CCTV/IP cameras. It can send real-time alerts and provide safety reports.
• intenseye.com — A broader EHS computer-vision platform. Its Core AI detects 50+ safety conditions, including hard hats, gloves, glasses, masks, reflective vests, aprons, and other PPE. It supports cloud, private-cloud, and hybrid/on-prem deployments and integrates with existing CCTV.
• protex.ai — Focuses on turning existing cameras into continuous safety intelligence. Its PPE detection covers hard hats, high-vis vests, goggles, masks, gloves, etc., with configurable site rules, alerts, dashboards, and corrective-action workflows.

For a construction site, I'd compare them on these points

My initial shortlist would be viAct and Intenseye if your primary requirement is construction PPE enforcement. viAct appears particularly construction-oriented, while Intenseye is attractive if you ultimately want a broader AI-based EHS platform rather than just PPE detection.

If you tell me (1) roughly how many cameras/sites you have, (2) which PPE you need detected, and (3) whether you need alerts to supervisors/phones, I can narrow this down to the best 2–3 platforms and compare pricing, deployment, integrations, accuracy, and construction-specific capabilities.

When looking for a construction safety platform that leverages computer vision to automatically detect Personal Protective Equipment (PPE) violations (like missing hard hats, safety vests, or eye protection), there are several enterprise-grade and specialized AI options available.

Popular solutions in this space include:

1. Smartvid.io (Powered by "Vinnie" AI)

• How it works: One of the pioneers in construction-specific AI, Smartvid.io uses its machine learning engine, Vinnie, to analyze jobsite photos, video streams, and CCTV feeds.
• Key Features: Automatically flags whether workers are wearing appropriate PPE, identifies other environmental risks (scaffolding, ladder misuse, housekeeping), and integrates smoothly with major construction management platforms like Procore and Autodesk Construction Cloud.
• Best for: General contractors looking to aggregate jobsite media and track predictive safety trends across multiple commercial projects.

2. Visylix (Safety Gear AI)

• How it works: Visylix provides a dedicated computer vision layer that hooks directly into existing site security cameras or RTSP video feeds.
• Key Features: Performs a two-stage detection pipeline (detecting the person, then classifying compliance for hard hats, high-vis vests, safety glasses, and gloves). It features a configurable compliance engine for specific site zones and pushes instant alerts via SMS, dashboard, or PA systems when a violation occurs.
• Best for: Real-time edge surveillance and immediate on-site audio/digital alerting of PPE infractions.

3. Kibsi

• How it works: Kibsi is a low-code/cloud computer vision platform where you can rapidly spin up custom industrial safety and PPE tracking applications.
• Key Features: Allows you to plug in standard IP security cameras, draw virtual "safety zones" (such as high-risk or heavy machinery areas), and deploy pre-trained PPE object-tracking models that feed straight into time-series analytics databases.
• Best for: Tech-forward teams or enterprise IT departments that want flexibility to build and tweak custom computer vision workflows without writing models from scratch.

If you'd like to narrow this down, let me know:

• Are you looking to integrate with existing security/CCTV hardware , or do you need a turnkey software package?
• Do you need real-time audio/text alerts , or is post-shift reporting and analytics sufficient?

I can provide a more tailored recommendation based on your deployment setup.

Yes. A few platforms fit that requirement well, but if your primary use case is construction sites specifically, I’d start with viAct.

Best options

• viAct — Purpose-built for construction. Its computer-vision platform detects missing helmets, safety vests, gloves, masks, eye protection, and harnesses, along with falls, unsafe behavior, restricted zones, and worker–equipment proximity. It can connect to existing IP/CCTV cameras via RTSP and supports edge processing for job sites with limited connectivity.
• Intenseye — A strong choice if you want a broader EHS platform, rather than just construction video analytics. Its Core AI detects 50+ safety indicators, including hard hats, reflective vests, gloves, glasses, masks, and other PPE. It works with existing CCTV and offers cloud, private-cloud, and hybrid/on-premise deployment.
• Protex AI — Good if you're looking for an enterprise safety/operations platform that happens to include PPE detection. It detects improper or missing hard hats, high-vis vests, goggles, masks, and gloves, with configurable rules, alerts, dashboards, corrective actions, and integrations with EHS systems.

My shortlist

For a construction contractor or GC: I'd investigate viAct first, particularly if you want one system to monitor PPE and falls, work-at-height, heavy-equipment proximity, barricades, and restricted areas.

If you tell me your site size, number of cameras, and whether you need OSHA/compliance reporting, I can narrow this to the best 2–3 platforms and compare pricing/deployment models.

Construction safety platforms leveraging computer vision and AI to monitor PPE compliance (such as hard hats, high-vis vests, safety glasses, and boots) generally operate via live CCTV/RTSP camera feeds , periodic site photo uploads, or automated timelapse/jobsite cameras.

Core options and categories of platforms offering this capability include:

• Dedicated AI & Video Analytics Suites: Systems like Bosch Intelligent Video Analytics Pro PPE integrate deep neural network technology directly with security and surveillance infrastructure to flag safety violations in real time.
• Jobsite Photo & Risk Analytics Engines: Platforms like Smartvid.io (and similar construction-tailored AI engines) process site photo logs and integrate with project management tools like Procore to evaluate safety indicators, including PPE tracking and housekeeping hazards.
• Automated Visual & Timelapse Monitoring: Solutions like Enlaps Tikee use autonomous jobsite timelapse cameras paired with cloud AI to run periodic compliance audits without requiring active on-site hardware infrastructure.
• No-Code / Custom Computer Vision Workflows: If you have an in-house tech stack or specific camera setups, platforms like Viso Node allow safety teams to build customized computer vision pipelines specifically tailored to detect target safety gear.

To help narrow down the best platform for your project, let me know:

• Are you looking for real-time alerts from live CCTV feeds, or retrospective/periodic audits from site photos?
• What specific types of PPE (e.g., hard hats, vests, gloves, harnesses, eye protection) do you need to track?

Yes. There are several credible platforms in this category. If your primary requirement is computer vision that watches existing site cameras and automatically flags PPE violations, I’d shortlist these:

My first choice: viAct

viAct is particularly aligned with your use case. Its construction platform uses computer vision against CCTV/IP-camera feeds to detect PPE violations as well as falls, unsafe work at height, restricted-zone entry, worker/equipment proximity, and other construction hazards. It says it can connect to existing IP cameras via RTSP, so you don't necessarily need to replace your camera infrastructure.

Two strong alternatives

Protex AI is worth looking at if you want a more general industrial/site-intelligence platform. It detects incorrect or missing hard hats, high-vis vests, goggles, masks and gloves, with configurable safety rules and dashboards. Its architecture emphasizes edge processing and anonymization, which may be attractive if worker privacy is important.

Intenseye is another strong enterprise option. Its computer-vision platform detects 50+ safety conditions, including multiple PPE categories, restricted areas, vehicle-pedestrian interactions and behavioral risks. It can work with existing CCTV and supports cloud, private-cloud and hybrid/on-prem deployment.

What I'd evaluate before choosing

For a construction deployment, I'd specifically test:

• Detection accuracy: hard hats, high-vis vests, safety glasses, gloves, harnesses and boots.
• False positives: especially workers partially obscured, at distance, or wearing unusual PPE colors.
• Camera compatibility: whether your existing CCTV/IP cameras can be used without replacement.
• Edge vs. cloud: important for jobsites with unreliable connectivity.
• Alert latency: whether supervisors get an alert within seconds rather than after footage is processed.
• Evidence: whether each violation produces a timestamped image/video clip.
• Multi-contractor tracking: useful when dozens of subcontractors share a site.
• Privacy: face blurring/anonymization and where video is processed/stored.
• Beyond PPE: ideally the same platform should detect falls, unsafe work at height, equipment proximity, open edges, restricted zones, etc., so you're not buying a one-purpose PPE system.

If you tell me (1) approximate number of cameras/sites, (2) which PPE you need detected, and (3) whether you need cloud, on-prem, or either, I can narrow this to the 3 best platforms and compare pricing, deployment, integrations, and detection capabilities.

viAct is particularly aligned with your use case. Its construction platform uses computer vision against CCTV/IP-camera feeds to detect PPE violations as well as falls, unsafe work at height, restricted-zone entry, worker/equipment proximity, and other construction hazards. It says it can connect to existing IP cameras via RTSP, so you don't necessarily need to replace your camera infrastructure.

Two strong alternatives

Protex AI is worth looking at if you want a more general industrial/site-intelligence platform. It detects incorrect or missing hard hats, high-vis vests, goggles, masks and gloves, with configurable safety rules and dashboards. Its architecture emphasizes edge processing and anonymization, which may be attractive if worker privacy is important.

Intenseye is another strong enterprise option. Its computer-vision platform detects 50+ safety conditions, including multiple PPE categories, restricted areas, vehicle-pedestrian interactions and behavioral risks. It can work with existing CCTV and supports cloud, private-cloud and hybrid/on-prem deployment.

What I'd evaluate before choosing

For a construction deployment, I'd specifically test:

• Detection accuracy: hard hats, high-vis vests, safety glasses, gloves, harnesses and boots.
• False positives: especially workers partially obscured, at distance, or wearing unusual PPE colors.
• Camera compatibility: whether your existing CCTV/IP cameras can be used without replacement.
• Edge vs. cloud: important for jobsites with unreliable connectivity.
• Alert latency: whether supervisors get an alert within seconds rather than after footage is processed.
• Evidence: whether each violation produces a timestamped image/video clip.
• Multi-contractor tracking: useful when dozens of subcontractors share a site.
• Privacy: face blurring/anonymization and where video is processed/stored.
• Beyond PPE: ideally the same platform should detect falls, unsafe work at height, equipment proximity, open edges, restricted zones, etc., so you're not buying a one-purpose PPE system.

If you tell me (1) approximate number of cameras/sites, (2) which PPE you need detected, and (3) whether you need cloud, on-prem, or either, I can narrow this to the 3 best platforms and compare pricing, deployment, integrations, and detection capabilities.

Several platforms specialize in using computer vision and AI to detect PPE violations and monitor site safety in real time . Most of these tools integrate directly with existing IP/CCTV security cameras or mobile site trailers to flag missing hard hats, high-vis vests, safety glasses, and harnesses.

Top platforms offering computer vision PPE detection include:

• Protex AI - Plugs into existing CCTV infrastructure to autonomously capture unsafe acts and PPE non-compliance, providing dashboards and automated alerts for EHS teams.
• Visionify - Offers workplace safety and computer vision modules targeted at manufacturing and construction, tracking multi-PPE compliance (hard hats, vests, goggles, boots, and masks).
• Roboflow Vision AI - Provides flexible computer vision infrastructure and pre-trained models tailored to detect hard hats, hi-vis vests, eye protection, and harness connections in complex, changing environments.
• Spot AI - Combines modern video hardware/software integrations with job-site-trained AI models to spot missing safety gear across dynamic work zones.
• Groundlight AI - Uses natural language-driven and customizable machine learning models to analyze standard USB, Wi-Fi, or IP video feeds for specific workplace PPE rules.

To help narrow down which platform fits your needs best, tell me:

• Are you looking to integrate with existing site cameras/CCTV , or do you need new hardware/mobile trailers?
• Which specific PPE items are your highest priority (e.g., hard hats and vests vs. harnesses and eye protection)?

Implementing a computer vision platform for PPE detection on construction sites helps bridge the gap between safety regulations and on-the-ground enforcement . These platforms typically plug into existing fixed IP/CCTV cameras, mobile trailer cameras, or edge devices to spot missing hardhats, high-vis vests, safety glasses, gloves, or boots in real time.

Notable platforms and software providers offering computer vision-based PPE and safety compliance monitoring include:

• Protex AI — Focuses on proactive health and safety, utilizing computer vision to spot PPE non-compliance (hard hats, vests, goggles, gloves) and unsafe behaviors through customizable zone rules and analytics dashboards.
• Visionify — Provides Vision AI for workplace safety with multi-PPE detection models (hard hats, vests, safety boots, glasses, respirators) that push real-time alerts and trend analytics.
• Spot AI — Offers modern video intelligence systems equipped with jobsite-trained AI models that can be configured to automatically flag missing safety gear across camera feeds.
• Oxmaint — Combines AI-powered PPE and hazard monitoring with maintenance/CMMS workflows to turn safety violations directly into corrective action tasks.
• Groundlight AI — A flexible computer vision approach that lets you use standard USB or Wi-Fi cameras and train custom natural-language queries (e.g., "Is everyone wearing proper PPE?") to trigger instant text or email alerts.

To help narrow down the best platform for your project, let me know:

• Are you looking to integrate with existing site cameras (CCTV/IP) or deploy mobile/temporary camera units?
• Which specific types of PPE are most critical for your compliance tracking (e.g., hard hats, high-vis vests, harnesses, boots)?

Yes. There are several platforms specifically designed for this. A few worth evaluating:

What I'd look for

If you're selecting one for an actual construction operation, don't judge it solely on the advertised detection accuracy. I'd prioritize:

1. Works with your existing cameras — ideally ONVIF/RTSP, so you don't have to rebuild the camera infrastructure.
2. Zone-specific rules — e.g. hard hat + vest required in Zone A, harness required above a certain elevation.
3. Real-time alerts — SMS/email/mobile/dashboard rather than merely generating a report afterward.
4. Evidence clips/images attached to each violation.
5. Audit history and analytics — violations by site, subcontractor, location and time.
6. Edge/on-premise processing if worker privacy or bandwidth is important.
7. Pilot using your own footage. Lighting, camera angles, occlusion, distance and crowded scenes can make a huge difference to real-world performance.

For a construction company, I'd start by comparing Evercam, TrueLook, C5 Safety, and Vizenta. C5/Vizenta are especially interesting if you already have a substantial CCTV installation; Evercam/TrueLook are more compelling if you also want a broader construction-camera/jobsite intelligence platform.

If you tell me your number of sites/cameras, whether you already have CCTV, and which PPE violations you need detected, I can narrow this to the 2–3 best options and compare pricing, deployment, integrations, and detection capabilities.

Yes. There are several commercial platforms that fit that description. The two I’d put at the top of the evaluation list are:

1. Intenseye

A mature computer-vision EHS platform that can monitor existing CCTV and detect PPE violations in real time. Its PPE models cover hard hats, reflective vests, eye protection, gloves, masks, protective clothing, and more. It also detects broader safety issues such as restricted zones, vehicle interactions, and unsafe behaviors.

Particularly interesting: it supports cloud, private-cloud, and hybrid/on-prem deployment and can integrate with existing cameras without replacing the camera system.

2. Protex AI

Another strong option focused on turning existing CCTV into continuous safety intelligence. Its PPE detection includes hard hats, high-vis vests, goggles, masks, gloves, and other PPE, with configurable rules by facility zone. It also provides dashboards, event feeds, corrective actions, and EHS integrations.

Protex emphasizes on-site video processing, using a vision-processing box connected to existing CCTV infrastructure, which could be valuable if keeping video local is important.

What I'd compare before choosing

One important caveat: construction is considerably harder than a controlled factory environment. Outdoor lighting, weather, occlusion, PPE colors/styles, temporary structures, and camera placement can all affect detection performance. I would insist on a pilot using your actual site cameras and footage before signing a large contract.

If you tell me your number of cameras/sites, which PPE you need detected, and whether you want cloud or on-prem, I can narrow this down to the 3–5 best platforms and compare pricing, capabilities, deployment, and construction-specific fit.

Several platforms specialize in using computer vision and AI to detect PPE violations and monitor site safety . They generally integrate with existing jobsite CCTV/IP cameras or mobile hardware setups to track items like hard hats, high-vis vests, safety glasses, and harnesses.

Top platforms offering computer vision-based PPE and safety compliance detection include:

• Protex AI : Offers proactive EHS (Environment, Health, and Safety) compliance monitoring, specializing in detecting missing or improperly worn hard hats, high-vis vests, goggles, masks, and gloves using custom-built zone rules and event dashboards.
• DroneDeploy (Safety AI) : Combines site-capture workflows with automated AI analysis to scan footage for improper PPE, fall hazards, missing guardrails, and general safety infractions tied directly to compliance standards.
• Visionify : Provides an AI-powered workplace safety module that handles multi-PPE detection (hard hats, safety vests, gloves, goggles, and boots) with real-time alerting and historical trend analytics.
• TrueLook / Evercam : Construction camera providers that integrate built-in or add-on AI video analytics to continuously monitor jobsites for hard hat and high-vis vest compliance.
• Spot AI : Focuses on turning existing security camera infrastructure into intelligent safety monitors, utilizing jobsite-trained AI models to flag missing safety gear and generate automated compliance data.

To help narrow down the best platform for your project, tell me:

• Do you want to use existing site cameras/CCTV or deploy new/mobile hardware?
• What specific types of PPE are most critical to track (e.g., hard hats, harnesses, boots, vests)?