A Construction Safety Platform That… AI recommendations | Parse
I am looking for a construction safety platform that uses computer vision to detect PPE violations on site.
Data as of Sep 26, 2026 · Based on 295 AI responses from ChatGPT Search and Google AI Mode · See how Parse measures this
You can monitor construction site safety using computer vision platforms that integrate with existing CCTV infrastructure. Many solutions automatically detect when workers are missing hard hats, vests, or other gear and provide real-time alerts. Leading options include Groundlight, viAct, and TrueLook, which focus on ease of deployment and site-wide monitoring to help safety teams maintain compliance without needing expensive new hardware.
Strong choice for persistent, round-the-clock monitoring, even in hard-to-access site areas. It provides instant alerts for missing key safety gear like harnesses and hard hats.
Yes. There are several platforms specifically aimed at this use case—using existing CCTV/IP cameras plus computer vision to detect missing or improperly worn PPE and alert safety teams.
Platforms worth evaluating
viAct — Particularly construction-focused. Its computer vision can detect missing helmets, vests, gloves and harnesses, alongside falls, restricted-zone entry, worker/equipment proximity and other construction hazards. It also supports edge processing, which can be useful on jobsites with unreliable connectivity.
Intenseye — Broader industrial safety platform with PPE detection for hard hats, eye protection, gloves, harnesses, reflective vests, respiratory protection and more. It can run on existing cameras and provides real-time alerts and compliance analytics.
Protex AI — Uses existing camera infrastructure to detect PPE non-compliance, including hard hats, high-vis vests, goggles, masks and gloves. It also has rule configuration, event feeds, dashboards and integrations with EHS/enterprise systems.
DeepObserve — Construction-specific computer vision with helmet/PPE compliance, unsafe-zone alerts and other site monitoring. It claims sub-2-second alert latency and compatibility with existing cameras, subject to a site feasibility assessment.
AtomVision — More edge-oriented: its AI Edge Analytic Box can perform hard-hat, vest and restricted-zone detection locally using existing ONVIF cameras, including when internet connectivity is poor.
What I'd look for in a construction deployment
The important distinction isn't simply "does it detect hard hats?" Most of these do. I'd evaluate:
Capability
Why it matters
Existing-camera compatibility
Avoid replacing dozens/hundreds of site cameras
Zone-specific rules
E.g. hard hat required in one area, harness required in another
Real-time alerts
Supervisor can intervene rather than discover violations later
PPE types
Hard hat, vest, glasses, gloves, harness, hearing/respiratory protection
Outdoor performance
Lighting, weather, dust and camera angles can materially affect accuracy
Edge processing
Useful for remote jobsites and reduces dependence on cloud connectivity
Evidence clips/snapshots
Lets safety managers verify an alert
Analytics
Identify recurring problem areas, shifts and subcontractors
EHS integrations
Important if violations need to flow into your existing safety workflow
Privacy controls
Especially important if cameras monitor identifiable workers
For a construction-specific shortlist, I'd start by evaluating viAct, Intenseye, and Protex AI, then include a smaller edge-focused vendor such as AtomVision if on-site processing is important. That isn't a ranking of overall quality; they have somewhat different architectures and target markets.
If you tell me your approximate number of cameras/sites, which PPE you need detected, and whether you already have CCTV cameras, I can narrow this to 3–5 platforms and compare their pricing, camera compatibility, deployment model, detection capabilities, and integrations.
When looking for a construction safety platform that uses computer vision for real-time Personal Protective Equipment (PPE) compliance, you'll find solutions ranging from enterprise edge-AI camera analytics to software that integrates with existing on-site security feeds or drone footage.
Several prominent platforms and enterprise options specialize in computer vision for construction and industrial safety:
Protex.ai : Offers customizable safety rules utilizing advanced computer vision and deep learning. It monitors multiple workers concurrently in dynamic industrial and construction environments to flag missing or incorrect PPE.
Solyd / Solyd Era : Focuses heavily on computer vision-powered automated safety monitoring, identifying compliance issues like missing hardhats, vests, and protective gear across industrial and construction sectors.
Viisights : Provides behavioral recognition and safety analytics using intelligent video analytics, capable of detecting safety gear infractions and hazardous conditions in real time.
Smartvid.io (Vinnie AI) : Pioneered AI and machine learning engines tuned specifically for construction. While traditionally known for analyzing jobsite photo/video logs (and integrating with platforms like Procore), it builds predictive analytics based on ongoing visual compliance observations.
Bosch Intelligent Video Analytics (IVA Pro PPE) : An edge-based hardware/software integration option that uses deep neural networks directly within security cameras to detect whether personnel are wearing required PPE in industrial/construction yards.[1]
Key Capabilities to Look For
Stream Compatibility : Ensure the platform can ingest feeds from your existing infrastructure (IP cameras, mobile/portable jobsite trailers, or RTSP streams).
Customizability : The ability to train or tweak models for site-specific gear (e.g., specialized high-visibility colors, harnesses, eye protection, or heavy boots).
Edge vs. Cloud Processing : Decide whether you need real-time edge alerts (local processing to sound an alarm or alert a superintendent instantly) versus cloud-based analytics (for aggregate compliance reporting over weeks/months).[2][3]
To help narrow down the best fit, tell me:
Are you looking to integrate with fixed site security cameras, mobile/temporary trailers , or wearables/drones?
Do you need instant real-time audio/SMS alerts on site, or primarily weekly analytics and reporting?
If you mean a platform that can use existing site CCTV/IP cameras to automatically detect missing or incorrectly worn PPE, there are several credible options worth evaluating.
Platform
PPE detection
Construction focus
Existing cameras
Other safety capabilities
viAct
Hard hats, vests, gloves, harnesses and more
Strong
Yes, via IP/RTSP cameras
Falls, work-at-height, barricades, equipment proximity, restricted zones
Protex AI
Hard hats, high-vis, goggles, masks, gloves
More industrial/manufacturing oriented
Yes
Near misses, vehicle safety, ergonomics, restricted areas
Intenseye
Hard hats, vests, eye protection, gloves, respiratory protection and more
viact.ai is explicitly positioned as a construction safety platform. Its computer-vision layer can detect PPE violations as well as falls, unsafe work at height, missing barricades, restricted-zone breaches and worker/equipment proximity. It says its system can connect to existing IP cameras through RTSP, so you don't necessarily need to replace your camera infrastructure.
If you want a broader EHS platform
protex.ai focuses on integrating computer vision with existing cameras and EHS systems. Its PPE detection includes hard hats, high-vis vests, goggles, masks and gloves, with configurable rules and corrective-action workflows.
intenseye.com is another enterprise-oriented option. It connects to existing CCTV and supports cloud, private-cloud and hybrid/on-premise deployment, with PPE monitoring alongside vehicle, area-control, behavioral-safety and ergonomics detection.
For a construction-specific evaluation, I'd compare these on five things: detection accuracy in outdoor/dusty conditions, camera compatibility, edge vs. cloud processing, alert latency, and whether the system can distinguish required PPE by zone/task rather than simply detecting whether a hard hat is present.
If you tell me your number of cameras, type of construction site, PPE you need detected, and whether you need OSHA/EHS integration, I can narrow this to 2–3 platforms and compare their capabilities and likely deployment model.
Several construction safety and video analytics platforms leverage computer vision to automatically detect PPE violations (such as missing hard hats, high-visibility vests, safety glasses, or harnesses) in real time.
Popular solutions in this space include:
viAct - Provides a dedicated viAct PPE Detection module and Smart Site Safety System using AI video analytics and edge cameras to track compliance for vests, boots, gloves, and helmets, sending instant alerts and generating trend analytics.
Bosch Intelligent Video Analytics Pro - Offers the Bosch Intelligent Video Analytics Pro PPE Software which integrates deep neural network technology directly into surveillance feeds to detect personal protective equipment compliance.[1][2]
Rizon SiteVision - Part of Rizon’s jobsite management toolset, offering features like live camera feed monitoring and real-time PPE detection alerts to supervise active zones.
If you want to narrow down the right platform, tell me:
Are you looking to integrate with existing site CCTV/cameras , or do you need a turnkey hardware + software solution?
Do you need tracking for specific gear (e.g., harnesses, specialized respirators, high-vis vests)?
Yes. There are several commercial platforms that fit that description. The main distinction is whether you want a construction-specific safety platform or a broader industrial computer-vision system.
Platforms worth evaluating
viact.ai — Particularly focused on construction. Its computer vision can detect missing helmets, vests, gloves, masks, eye protection and harnesses, alongside risks such as falls, restricted-zone entry and worker/equipment proximity. It can use existing IP/CCTV cameras and supports real-time alerts.
protex.ai — More of an enterprise EHS/site-intelligence platform. Its PPE module detects hard hats, high-vis vests, goggles, masks and gloves, with configurable zone rules, dashboards, event feeds and integrations with EHS/BI systems.
intenseye.com — Enterprise computer-vision safety platform that monitors hard hats, vests, eye protection, gloves and other PPE, as well as unsafe interactions and restricted zones. It emphasizes customized deployment around an organization's operating environment.
atomvision.ai — Interesting if you specifically want edge/on-site processing. Its AI Edge Analytic Box can run hard-hat, vest and restricted-zone detection using existing ONVIF cameras, including where internet connectivity is unreliable.
surveillant.ai — Focused specifically on PPE compliance using existing IP cameras. It advertises hard-hat, vest, goggles, glove and mask detection, with rules based on zone and shift.
What I'd compare in a vendor evaluation
Capability
Why it matters
Hard-hat / vest accuracy
Basic requirement, but test with your actual camera angles and PPE colors
Existing-camera compatibility
Determines whether you need new cameras/hardware
Edge vs. cloud processing
Important for latency, connectivity and privacy
Zone-specific rules
Lets you require different PPE in different parts of a site
Real-time alerts
Determines whether the system is useful for intervention rather than just reporting
For a construction company specifically, I'd start by evaluating viAct and Protex AI, then include an edge-focused option such as AtomVision if keeping video processing on-site is important. That isn't a ranking of overall quality; they emphasize somewhat different deployment models and capabilities.
If you tell me roughly how many cameras/sites you have, whether you already have CCTV, and whether you need cloud or on-prem/edge processing, I can narrow this down to 2–3 platforms and compare their likely fit, deployment model, integrations, and pricing availability.
Using computer vision for Personal Protective Equipment (PPE) detection is one of the most effective ways to shift a construction site's safety culture from reactive to proactive.
The primary platform options available for this use case range from dedicated enterprise construction AI tools to integrated video analytics suites:
Oracle Construction Intelligence Cloud (incorporating Smartvid.io / Newmetrix) : Widely considered an industry standard for AI-driven construction safety. It uses proprietary computer vision to analyze jobsite photos, videos, and drone/CCTV feeds to automatically spot missing hard hats, safety vests, and eye or fall protection. It aggregates these data points into a predictive safety risk score for the site . You can review details on the Oracle Construction Intelligence Cloud.
Bosch Intelligent Video Analytics (IVA) Pro PPE : If you are looking to integrate AI safety checks directly into existing security camera infrastructure on a jobsite, Bosch offers deep-neural-network-based video analytics software specifically trained to detect compliance with personal protective equipment. Hardware and software licenses can be sourced through commercial distributors like Surveillance-Video.com.[1]
Custom Edge-AI & CCTV Integrators : Many modern deployments use localized edge-computing boxes (connected to existing RTSP/CCTV security streams) running custom YOLO-based computer vision models (such as Ultralytics YOLO architectures). Specialized computer vision providers configure these to flag specific combinations of gear—like hard hats, high-vis vests, gloves, and safety boots—and immediately push alerts to a dashboard or mobile device when a violation occurs.[2]
To help narrow down the best technical approach, could you tell me:
Are you looking to plug AI into existing fixed CCTV cameras , or do you need something that analyzes photos taken by field workers/drones?
What specific PPE items (hard hats, vests, boots, harnesses) are your top priority to detect?
If you are evaluating a construction safety platform that uses computer vision to detect PPE violations, there are several options worth considering. Most work by connecting to existing CCTV/IP cameras (or providing camera hardware), analysing video feeds with AI, detecting missing PPE (such as hard hats and hi-vis), and sending alerts or compliance reports.
Platforms to shortlist
Platform
Key capabilities
Best fit
Evercam
AI PPE detection, site cameras, dashboards, trend reporting, configurable detection areas
Contractors already using construction cameras and wanting safety analytics
DeepObserve
Helmet/vest/PPE detection, unsafe-zone alerts, camera integrations, edge or cloud deployment
Enterprise sites needing broader video intelligence
Fortix AI
Construction-focused AI CCTV, PPE breaches, exclusion-zone monitoring, evidence capture
Active construction sites needing rapid alerts and remote monitoring
WCCTV
AI PPE monitoring with towers, redeployable cameras, alerts, reporting
Temporary sites or projects needing mobile CCTV solutions
SecureSafety AI
PPE checks by item/zone, configurable rules, existing camera support
Sites with detailed PPE requirements (helmet colour, gloves, eye protection, etc.)
AtomVision
Edge AI box, hard-hat/vest detection, restricted zones, works with ONVIF cameras
Sites needing low-latency local processing
Features I would look for in a buying evaluation
Existing camera compatibility
Can it use your current CCTV/IP cameras, or does it require proprietary hardware?
Real-time alerts
Does it notify a supervisor immediately via mobile app, SMS, email, or control-room dashboard?
Evidence capture
Does every violation include timestamped images/video clips for audits and investigations?
Zone-based rules
PPE requirements often differ by area (e.g., harnesses near edges, eye protection in cutting zones).
Edge vs cloud processing
Edge AI: lower latency, less video leaving site, useful for remote sites.
Cloud AI: easier multi-site dashboards and scaling.
Privacy controls
Check how worker data is handled, retention periods, and whether facial recognition is involved.
Questions to ask vendors before buying
What PPE items can you detect reliably?
What is the false-alert rate on real construction footage?
Can we run a proof-of-concept on our own site cameras?
How does performance change with dust, rain, night work, occlusion, and distance?
Can it integrate with our existing HSE/incident management system?
Where is video processed and stored?
If you tell me your country, number of sites/cameras, whether you already have CCTV, and whether you need alerts in real time or just compliance reporting, I can narrow this down to the best-fit platforms.
Yes—there are several platforms in this space. If your requirement is construction-site computer vision that uses existing cameras to detect PPE violations, I’d shortlist these:
evercam.com — Particularly construction-focused. Uses site cameras to monitor PPE indicators and provides dashboards/trends across active construction areas.
protex.ai — Strong enterprise option. Detects hard hats, high-vis vests, goggles, masks, gloves and other PPE, with configurable rules, alerts, analytics and EHS integrations.
intenseye.com — More comprehensive workplace-safety platform. Its computer vision detects PPE plus restricted zones, vehicle/pedestrian interactions, housekeeping hazards and other safety risks. It supports cloud, private-cloud and hybrid/on-prem deployments.
atomvision.ai — Interesting if you want edge processing at the jobsite. Its system runs hard-hat, vest and restricted-zone detection locally and works with existing ONVIF cameras.
c5safety.com — Self-hosted/no-cloud computer vision for existing CCTV, with construction-specific hard-hat, harness, fall, work-at-height and vehicle-proximity detection.
fortixai.com — Focused on continuous camera monitoring and alerts for missing hard hats, high-vis vests and safety glasses, with configurable zone requirements.
My recommendation
If you're evaluating this for an actual construction operation, I'd start with Evercam, Protex AI, and Intenseye. If keeping video on-premises/at the edge is important, add AtomVision and C5 Safety to the evaluation.
The important questions to ask vendors are:
What PPE can it detect? Hard hats, vests, glasses, gloves, harnesses, etc.
Does it work with existing IP/ONVIF/RTSP cameras?
Can rules vary by zone? For example, hard hat + vest required in Zone A but harness required in Zone B.
How quickly are violations detected and alerted?
Can it distinguish actual violations from poor camera angles/occlusion?
Is processing cloud, edge, or hybrid?
Does it retain video/images, and for how long?
Can alerts integrate with your existing EHS system, Teams/Slack, email, or SMS?
Can it provide audit-ready evidence and compliance trends?
How does it handle worker privacy and facial recognition?
If you tell me the size/type of your construction operation and whether you already have cameras installed, I can narrow this to the 3 best platforms and compare features, deployment model, pricing, and likely fit.
Deploying a computer vision platform for real-time Personal Protective Equipment (PPE) detection is a powerful way to reduce jobsite risks, lower insurance modifiers, and catch safety lapses before incidents happen.
The top software platforms and enterprise tools in this space vary by how they ingest data (live CCTV feeds vs. daily photo logs/drones):
Newmetrix (formerly Smartvid.io / now integrated via Oracle Construction Intelligence Cloud) : Widely recognized as a pioneer in the construction AI space. Its proprietary AI engine ("Vinnie") uses computer vision to analyze project photos, video streams, and safety observations to track PPE compliance (hard hats, vests, safety glasses) alongside broader site hazards (ladders, excavations). You can check out their ecosystem integration on the Procore Marketplace.
Solvace (HS&E Module) : While positioned broadly as an Operational Excellence and digital workflow platform, Solvace includes robust Health, Safety, and Environment (HS&E) capabilities that structure safety walks, incident tracking, and corrective actions, which can hook into digital computer vision data streams.
Bosch Intelligent Video Analytics (IVA) Pro PPE : An enterprise hardware-meets-software solution. If your jobsite or permanent industrial yard uses fixed security cameras or PTZ domes, Bosch's deep neural network software modules can be licensed to directly process real-time video streams and flag missing hard hats, harnesses, or high-vis gear.[1][2]
Custom YOLO-based CV Pipelines (Ultralytics / Roboflow) : If you have an in-house tech team or specific privacy requirements, many mid-to-large general contractors build custom edge-AI setups using models like YOLOv8/YOLOv11 trained on construction datasets. These pipe RTSP streams from on-site security trailers into local mini-PCs to trigger audio or SMS alerts without relying on a third-party SaaS cloud.
To help narrow down the right platform, let me know:
Are you looking to analyze live streaming CCTV/webcams or historical/daily site photos taken by workers and drones?
Do you need integrations with existing project management software like Procore or Autodesk?
Several commercial computer vision platforms and software solutions specialize in detecting PPE compliance and safety violations on construction and industrial sites.
Notable Computer Vision & AI Safety Platforms
Smartvid.io: One of the early pioneers specifically tailored for construction. It uses an AI engine (often referred to as "Vinnie") to analyze photos, videos, and live feeds from jobsites to automatically detect hard hats, safety vests, gloves, and other active site hazards.
Protex AI: Recognized heavily in industrial and safety analytics reports, Protex AI plugs into existing CCTV infrastructure to perform autonomous PPE detection coupled with behavioral safety insights to track compliance trends over time.
Voxel AI: An emerging computer vision platform focused on workplace and industrial safety, providing real-time alerts and analytics dashboards for missing PPE and hazardous proximity zones.
Bosch Intelligent Video Analytics (IVA) Pro PPE: A robust hardware-and-software edge analytics solution leveraging deep neural networks to directly analyze camera streams for personal protective equipment compliance.[1][2][3]
Key Features to Look For
Integration Capabilities: Ensure the platform can ingest feeds from your existing fixed IP cameras, RTSP streams, or mobile/body-worn cameras used by field personnel.[1]
Edge vs. Cloud Processing: Decide whether you need edge-computing boxes on-site (crucial for remote sites with poor internet bandwidth) or cloud-based processing.
Real-time Alerting: Look for systems that trigger instant notifications (SMS, email, or dashboard sirens) to safety managers the moment a violation occurs.[2]
If you'd like to narrow this down, let me know:
Are you looking to integrate with existing site security cameras or deploy new hardware/edge devices?
Do you need real-time live alerts or historical trend analytics?
viAct — Particularly construction-focused. Its computer vision can detect missing helmets, vests, gloves and harnesses, alongside falls, restricted-zone entry, worker/equipment proximity and other construction hazards. It also supports edge processing, which can be useful on jobsites with unreliable connectivity.
Intenseye — Broader industrial safety platform with PPE detection for hard hats, eye protection, gloves, harnesses, reflective vests, respiratory protection and more. It can run on existing cameras and provides real-time alerts and compliance analytics.
