Brazilian industrial AI company ALTAVE is expanding its computer vision and video analytics deployments across offshore and onshore operations, showcasing a portfolio of workplace safety technologies at ADIPEC 2026. Its solutions include Dropped Object Prevention (DROPS), Man-Hour Exposure Risk (MHER), Interlock and Red Zone monitoring, which use AI-powered video analysis to identify workplace hazards, monitor worker exposure and support automated equipment responses. The company says its DROPS and MHER systems are now deployed across six countries through an expanded partnership with a major offshore drilling contractor, highlighting the growing role of industrial AI in worker safety and operational risk management.
ALTAVE Expands Industrial AI Safety Systems Across Global Offshore Operations
Industrial AI is increasingly moving beyond equipment monitoring and predictive maintenance into workplace safety, where computer vision systems can identify hazardous situations before they result in incidents. ALTAVE is targeting this market with a portfolio of video analytics applications designed for offshore drilling rigs, vessels and industrial facilities.
The Brazilian technology company will present its solutions at ADIPEC 2026, with particular attention on two applications: Dropped Object Prevention (DROPS) and Man-Hour Exposure Risk (MHER). Both are part of an expanded agreement with one of the world’s largest offshore drilling contractors, which now uses the systems in Brazil, the United States, Trinidad and Tobago, Poland, the United Kingdom and Egypt.
The agreement represents an expansion of ALTAVE’s international industrial AI deployments, although the company has not disclosed the contractor’s identity or the financial terms of the partnership.
Computer Vision Turns Workplace Video Into Safety Data
ALTAVE’s approach centers on converting existing video feeds into structured operational information.
Traditional workplace surveillance systems primarily record activity for later review. AI-powered video analytics can interpret camera footage in real time, identifying objects, people, movements and potentially unsafe interactions.
DROPS applies this capability to tool and equipment accountability in offshore environments. The system analyzes camera images to identify situations such as missing tools, equipment left in critical areas, inventory discrepancies and tools that have not been returned after a job.
When it detects a potential issue, the platform generates an alert and records the event in ALTAVE’s HARPIA platform. The resulting information can be used to build audit histories, generate reports and identify recurring operational problems.
The technology addresses a significant challenge in offshore work environments, where dropped objects can create serious risks for personnel working below elevated platforms and around industrial equipment.
MHER focuses on a different aspect of workplace safety: worker exposure.
Rather than simply identifying unsafe events, the system measures how many workers enter designated high-risk areas and how long they remain there. Areas such as drilling floors can be analyzed to identify when exposure is concentrated and whether particular activities require changes in scheduling or crew allocation.
This creates a connection between safety analytics and operational planning. Managers can use exposure data to evaluate work patterns, adjust task sequences and make more informed decisions about workforce deployment.
Beyond Monitoring: AI-Enabled Equipment Intervention
ALTAVE is also presenting Interlock, a system designed to monitor interactions between workers and moving equipment on drilling floors.
Unlike applications that primarily generate alerts, Interlock can integrate with existing rig control systems to trigger equipment responses. When the system detects a worker in the path of moving machinery, it can automatically slow equipment or activate an interlock.
The objective is to reduce struck-by, crushing and collision risks while limiting safety-related operational interruptions.
The company is also demonstrating Red Zone management, Suspended Load monitoring, Strobe alerts and Man Down detection.
Red Zone technology manages static and dynamic hazardous areas, while Strobe uses visual warnings to alert workers entering restricted zones. Suspended Load monitoring establishes a moving safety perimeter around lifted equipment or materials. Man Down detection identifies worker falls and alerts response teams.
These applications feed into HARPIA, which combines real-time alerts, interactive dashboards and georeferenced operational data.
International Expansion and Operational Results
ALTAVE’s expansion reflects increasing demand for AI-powered safety systems across offshore energy and industrial operations. Founded by engineers from Brazil’s Aeronautics Institute of Technology (ITA), the company says it has more than 15 years of research and development behind its technology.
Its solutions are deployed in 11 countries, covering more than 90 vessels, 28 drilling rigs and 39 other industrial sites. The company reports that its technology helped safeguard more than 5,000 lives during 2025. Its customers include Petrobras, TotalEnergies, Aramco, Shell, Valaris, Nabors, Transocean and Seadrill.
ALTAVE also reports reductions in safety deviations ranging from 70% to 95% across customer deployments. These are company-reported results rather than independently verified performance benchmarks. The company acknowledges that outcomes depend on how organizations respond to AI-generated alerts, modify safety procedures and incorporate insights into daily operations.
That distinction is important. Computer vision can identify potential hazards and provide evidence, but meaningful safety improvements require supervisors and workers to act on the information.
ADIPEC 2026 Highlights Human-Centered Industrial AI
This relationship between AI technology and human behavior is also central to ALTAVE’s contribution to the ADIPEC 2026 technical program.
Raquel Piani, Marketing Manager at ALTAVE, will present the technical paper AI-Driven Video Analytics and Behavioral Safety: Enhancing Human-Centered Operational Adaptation in Offshore Support Vessels (SPE-235661-MS).
The research examines how behavioral safety practices influence operational outcomes in offshore environments, reinforcing the importance of combining automated monitoring with workforce engagement.
The wider industry context supports this focus. The International Association of Oil & Gas Producers (IOGP), in its 2025 safety reflections published in 2026, reported that 85% of recorded fatal incidents were associated with breaches of one or more Life-Saving Rules. The findings underline the importance of identifying hazardous behaviors and strengthening the implementation of established safety controls. IOGP
For ALTAVE, the commercial opportunity extends beyond real-time hazard detection. Its strategy is to turn video feeds into operational intelligence that helps energy companies understand where risks concentrate, how exposure changes and which work practices need adjustment.
As offshore operators expand digital monitoring, the ability to connect AI-generated safety information with workforce planning and operational controls could become an important component of industrial AI infrastructure.
Market Landscape
Industrial computer vision is becoming an important part of enterprise AI adoption, particularly in sectors where workplace safety, operational continuity and regulatory compliance are critical.
Three developments are shaping the market:
- Vision AI for workplace safety: AI-powered video analytics are moving beyond surveillance toward real-time hazard detection, worker tracking and automated safety interventions.
- Predictive and preventive safety: Organizations are increasingly using structured exposure data to identify recurring risk patterns and improve workforce planning.
- Edge AI in industrial environments: Local processing supports real-time detection and intervention in offshore facilities where connectivity, latency and operational reliability matter.
The scale of the safety challenge remains significant. IOGP’s 2025 safety reporting highlights the continued role of line-of-fire exposures, including struck-by incidents and dropped objects, in serious industrial accidents. IOGP+1
ALTAVE’s differentiation lies in combining multiple safety applications within its HARPIA platform, connecting real-time video analytics with auditable records, workforce exposure measurements and equipment-control integrations.
The competitive landscape includes industrial computer vision providers, AI-powered workplace safety platforms and industrial automation companies. Success will depend on detection reliability, integration with existing control systems, workforce acceptance and measurable improvements in safety performance.
Top Insights
- ALTAVE is expanding its DROPS and MHER deployments through an offshore drilling contractor partnership covering six countries across the Americas, Europe and Africa.
- DROPS uses computer vision to monitor tools and equipment, identifying missing items and potential dropped-object hazards in offshore workplaces.
- MHER converts workforce exposure into structured data, helping operators identify high-risk areas and improve crew allocation and task planning.
- Interlock connects AI-based worker detection with rig control systems, enabling automatic equipment slowdown or safety interlock activation.
- ALTAVE reports 70%–95% reductions in safety deviations across customer deployments, although results depend on operational procedures and workforce engagement.
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