Cobot Safety Monitoring AI
See when a person, hand, or forklift enters a collaborative robot's workspace, measure how close they are, and send a slow-down or pause signal.
Cobot Safety Monitoring AI for the Toughest Shared Workcells, Assembly Stations, and Palletizing Cells
Deploy Anywhere, Run Everywhere
Run cobot safety monitoring on overhead, cell-mounted, and robot-mounted cameras on the edge, on-prem, in your VPC, or via API.
One Platform, Full Adoption
Tools every automation and safety team can adopt, from robotics and controls engineers to EHS leaders, no separate ML team required.
Secure, Compliant, and Audit-Ready
Data stays safe with SOC 2 Type II compliance, encrypted data, HIPAA compliance, and an uptime SLA.
- Person & Hand Detection in the Cobot Workspace
- Separation Distance to the Robot
- Slow-Down & Pause Signals to the Controller
- Forklift & AGV Entry into the Cell
- PPE & Glove Checks at Shared Stations
- Near-Miss Logging with Clips
“Roboflow has been instrumental in accelerating our deployment of innovative AI solutions.”
Travis Turnbull
Vice President & CIO, Pella Corporation
Talk to a Vision AI engineer who's shipped in robotics and automation.
Bring us your toughest cobot safety monitoring problem and we'll map a working solution.
Ask us about:
- Solution architecture that fits ISO 10218-1 and -2, ISO/TS 15066, ANSI/A3 R15.06, and your cell risk assessment
- A live demo on your own workcell footage
- Deployment options: edge next to the cell, on-prem, air-gapped, VPC, or on robot-mounted and overhead cameras
- ROI modeling against near misses, nuisance stops from light curtains, cycle time lost to over-conservative speeds, and guarding costs
Over 16,000 organizations build with Roboflow.
- Rivian
- Pella
- Chobani
- USG Corporation
- BNSF Railway
- American Woodmark
Vision AI is transforming businesses
Customers across the board are solving complex challenges and driving meaningful impact.
- Automotive customer
$10 million
Saved by automatically detecting defects on the production line
- Logistics & freight company
90%
Less time spent manually tracking shipping inventory
- Building materials supplier
60%
Lower customer return rate with improved product quality
Keep People and Cobots Working Side by Side, from the First Pick to the Last Pallet
Bring real-time intelligence to every collaborative robot cell with Roboflow Vision AI for cobot safety monitoring. Built for plants where cobots run beside people without fences, where a light curtain either stops the cell for every passer-by or misses a hand reaching in from above, and where EHS needs a record of what really happens around the robot.
See people in the workspace:
- Detect people, hands, and arms in and around the cobot workspace from overhead or cell cameras, with a model trained on your own cell, lighting, and PPE.
- Tell a person apart from a forklift, AGV, cart, or the robot arm itself, so signals fire for the right reason.
- Estimate separation distance between a person and the robot to support speed and separation monitoring zones.
Signal the robot and the cell:
- Send a slow-down or pause signal to the robot controller or cell PLC when a person enters a warning zone, and resume when it clears.
- Reduce nuisance stops by triggering on people, not on every carton or tote that crosses a light curtain.
- Check gloves and PPE at shared stations where the operator and robot handle the same part.
Log, review, and improve the cell:
- Record every near miss and zone entry with a clip, cell ID, and timestamp for EHS review.
- Show where people actually enter the cell and how often, to improve the layout and the risk assessment.
- Run as a supplementary layer beside safety-rated scanners, mats, and the cobot's force and torque limiting, not as a replacement.
Bring intelligence to every cobot cell today. Stop near misses from becoming injuries, and nuisance stops from becoming lost cycle time.
Frequently asked questions
What is cobot safety monitoring with Vision AI?
Cobot safety monitoring with Vision AI uses overhead, cell, or robot-mounted cameras and a trained computer vision model to detect people, hands, and vehicles in a collaborative robot's workspace, estimate how close they are, and send slow-down or pause signals to the cell. Every zone entry and near miss is logged with a clip. It builds on safety zone monitoring, worker presence detection, and PPE detection.
Does cobot safety monitoring support ISO 10218 and ISO/TS 15066?
Cobot safety monitoring supports the risk assessment and collaborative operation guidance in ISO 10218-1 and -2 (safety requirements for industrial robots and robot systems), ISO/TS 15066 (collaborative robot operation, including speed and separation monitoring and power and force limiting), and ANSI/A3 R15.06 (the US adoption of ISO 10218), with records of how people interact with the cell.
Roboflow serves as the detection engine, and your robotics, controls, and EHS teams own the risk assessment, the zone definitions, and how the robot responds.
Can it integrate with our robot controllers and cell PLCs?
Yes. Roboflow writes zone state and person distance to a PLC tag over OPC UA, Modbus TCP, EtherNet/IP gateways, or MQTT, so the cell controller can set speed override or pause on cobots from Universal Robots, FANUC, ABB, KUKA, and Doosan. Events and clips can be sent over REST to EHS platforms such as Intelex, Cority, and VelocityEHS.