Connect drones, cameras, robots, sensors and industrial systems to event-driven AI agents that understand physical operations and orchestrate the next action.
PHYSICAL WORLD
DNOTIFIER EVENT MESH
EVENT INTELLIGENCE
AI AGENTS
DECISION ENGINE
WORKFLOW ENGINE
SAP / MAXIMO / SCADA / GIS
Traditional AI applications operate primarily on digital data. Physical AI extends that intelligence into environments where machines, assets, sensors, cameras and people continuously interact.
Capture telemetry, images, video, thermal data, gas readings, machine conditions, alarms and environmental signals from physical systems.
AI agents combine real-time observations with asset history, operational knowledge, documents, maps and previous incidents.
Trigger inspections, dispatch robots or drones, notify teams, create work orders, escalate incidents or continue monitoring.
DNotifier creates a continuous intelligence loop between physical assets, AI agents and enterprise operations.
Drones, cameras, sensors, robots and SCADA systems continuously generate observations from the physical environment.
AI models and specialized agents interpret the incoming data and identify anomalies, risks, defects or operational events.
The decision engine evaluates severity, asset criticality, operational rules, historical evidence and required approvals.
DNotifier can trigger workflows, missions, notifications, enterprise actions and human approvals.
Findings, events, inspections and outcomes become part of the asset's operational history.
The system keeps monitoring the environment and reacts again whenever new evidence changes the operational picture.
DNotifier sits between physical-world infrastructure and enterprise applications, providing the event, intelligence and orchestration layer required to build autonomous operations.
DNOTIFIER PHYSICAL AI
DRONES
CAMERAS
ROBOTS
PHYSICAL EVENT MESH
EVENT INTELLIGENCE
AI AGENTS
INSPECTION
SAFETY
SECURITY
DECISION ENGINE
WORKFLOW ENGINE
SAP
MAXIMO
SCADA
GIS
Instead of building device integrations, event infrastructure, agent coordination and operational workflows separately, DNotifier provides them as one platform.
Turn physical-world observations into structured, routable events that can trigger agents and workflows.
Connect UAVs, drone docks, CCTV, RTSP, ONVIF, thermal, OGI and other physical data sources.
Deploy reusable agents for inspection, safety, security, leak detection, maintenance and emergency response.
Give every asset a persistent identity containing its location, history, sensors, inspections, findings and risk.
Evaluate evidence, risk, business rules and operational policies before determining the next action.
Connect AI decisions to enterprise workflows, notifications, approvals, missions and operational systems.
DNotifier does not need to replace drone hardware or flight control platforms. Instead, it provides the intelligence and event layer above them.
Connect DJI, FlytBase, drone docks and custom UAV platforms. Receive telemetry, mission status, images, video and sensor payloads.
Convert operational requirements into drone missions. Select available drones, payloads, routes and inspection objectives.
Send captured imagery and sensor information to specialized agents for anomaly detection, inspection and risk analysis.
OPERATIONAL EVENT "Inspect Tank T-104"
MISSION AGENT
SELECT AVAILABLE DRONE
SELECT PAYLOAD RGB / THERMAL / OGI
GENERATE MISSION
EXECUTE FLIGHT
COLLECT DATA
AI INSPECTION
CREATE FINDINGS
TRIGGER WORKFLOW
Existing camera infrastructure becomes an operational sensor network when connected to DNotifier's event and agent layer.
Connect existing video infrastructure without replacing cameras already deployed across facilities.
Detect abnormal heat, overheating equipment, thermal anomalies and potential equipment failures.
Use optical gas imaging as another evidence source for leak detection and verification workflows.
Detect people entering restricted areas, unsafe zones, PPE violations and other configurable safety conditions.
Combine fixed cameras and drone observations for intelligent perimeter and intrusion monitoring.
Convert visual observations into structured events that other agents and workflows can consume.
This is where DNotifier's event-driven architecture becomes especially powerful. Devices do not need to know what should happen next. They publish events. Agents and workflows decide what happens next.
Drone inspection identifies a potential leak around an industrial asset.
Vision intelligence identifies fire or smoke inside a monitored facility.
Gas sensor crosses a configured operational threshold.
Thermal camera detects an abnormal temperature around equipment.
Camera and drone observations indicate potential unauthorized activity.
Industrial control systems publish a critical operational condition into DNotifier.
Detection is only the first step. DNotifier connects detection to verification, decision-making and operational execution.
SCADA / SENSOR\nHigh Gas Reading
DNOTIFIER EVENT MESH
EMERGENCY RESPONSE AGENT
MISSION AGENT "Inspect Pipeline P-1024"
DRONE DISPATCH
THERMAL + OGI + RGB
LEAK DETECTION AGENT
DECISION ENGINE
FALSE ALARM
CONFIRMED LEAK
RISK AGENT
HSE
CONTROL ROOM
SAP WORK ORDER
CONTINUE MONITORING
Asset Brain creates a persistent operational context for every asset. Instead of analyzing an event in isolation, AI agents understand what has happened to that asset over time.
Last inspection: Aug 28
Corrosion: Medium
Leak probability: 3.2%
Temperature: Normal
Previous risk score: 21
Current risk score: 47
AI Recommendation
Schedule physical inspection within 7 days.
PIPELINE-P-1024
├── Asset Identity
├── Location
├── Asset Type
├── Sensors
├── Cameras
├── Drone Inspections
├── Historical Events
├── Maintenance History
├── AI Findings
├── Documents / Knowledge
├── Risk Score
└── Current Status
Instead of building applications around direct commands such as "fly drone", DNotifier can represent missions as operational events that agents can create, execute and observe.
An asset reaches a condition requiring physical inspection.
Finds an available drone and determines the appropriate inspection payload.
The drone becomes an actuator inside the DNotifier event-driven architecture.
Oil & Gas is one of the strongest initial markets because operations contain high-value assets, distributed infrastructure, continuous monitoring requirements and expensive physical inspection workflows.
Use drones, cameras and historical asset information to identify potential leaks, corrosion and anomalies.
Correlate gas sensors, OGI, thermal imagery and operational data to verify potential leaks.
Automate visual and thermal inspection workflows across storage tanks and facilities.
Continuously monitor flare conditions and identify abnormal thermal or visual behavior.
Combine fixed cameras, drone patrols and AI agents to detect potential intrusion.
Detect safety conditions and automatically escalate incidents based on operational policies.
DNotifier's core event, agent and workflow infrastructure remains reusable while industry-specific agents and workflows provide domain intelligence.
Inspect transmission lines, substations, solar farms, transformers and other distributed infrastructure.
Monitor mines, slopes, equipment, stockpiles, vehicles and safety conditions.
Monitor construction progress, site safety, equipment, materials and site security.
Monitor containers, cranes, restricted zones, equipment and port security.
Monitor runways, perimeter zones, equipment and operational safety.
Connect cameras, IoT devices, autonomous systems and city operations into an intelligent event layer.
It connects them. Physical AI decisions can flow into the systems your operations teams already use.
Create maintenance and operational work orders, update records and trigger enterprise workflows.
Connect AI findings to asset management and maintenance workflows.
Turn industrial alarms and telemetry into intelligent AI events.
Add geographic and location context to assets, incidents and missions.
Notify control rooms, HSE teams, operators, managers and emergency response teams.
Keep humans in the loop for high-risk or safety-critical operational decisions.
Physical AI should not mean uncontrolled automation. DNotifier can combine AI decisions with policies, permissions and human approvals.
AI detects an issue and recommends the next action. A human operator makes the final decision.
AI prepares the mission or workflow while the operator approves execution.
Pre-approved operational scenarios can execute automatically within defined safety policies.
Most physical AI projects require teams to connect hardware, stream events, build AI pipelines, maintain asset context, coordinate agents and integrate enterprise workflows.
Drone integration
Camera integration
Event infrastructure
AI pipelines
Agent orchestration
Workflow automation
Asset history
Enterprise integrations
Physical connectors
Event mesh
AI agents
Asset Brain
Decision engine
Workflow orchestration
Enterprise integrations
Developer APIs
Faster Physical AI development.
Reusable agent infrastructure.
Event-driven operations.
Better asset visibility.
Automated operational workflows.
A foundation that can expand across industries.
Developers should not have to understand every hardware integration before building intelligent operational software. DNotifier provides the abstraction layer.
APPLICATION
DNOTIFIER SDK / API
EVENTS
AGENTS
DECISION ENGINE
WORKFLOW ENGINE
DRONE
CAMERA
SCADA / IoT
ENTERPRISE SYSTEMS
A gas sensor detects an abnormal reading. DNotifier understands the asset, dispatches the appropriate drone, analyzes the inspection data, confirms the leak, evaluates risk and coordinates the enterprise response.
GAS SENSOR
DNOTIFIER
EMERGENCY AGENT
DISPATCH DRONE
THERMAL / OGI / RGB
LEAK AI AGENT
RISK DECISION
HSE ALERT
CONTROL ROOM ALERT
SAP WORK ORDER
CONTINUOUS MONITORING
Connect your assets. Stream your events. Deploy your agents. Automate your workflows. Build the next generation of intelligent physical operations with DNotifier.