WORKFLOWS
Drag-and-drop production pipelines.
Chain models, logic, and integrations in a visual editor, then run the whole thing on-device.
150+Workflow blocks
36Model architectures
1B+Inferences / week
app.roboflow.com / workflows
AI1The entire vision stack,
The entire vision stack,
in one industrial camera.
AI1 combines the camera, compute, and lighting in one IP54 device. It turns every part on your line into a structured event in milliseconds, without a cloud round trip.
DWG-001, REV 24, scale 1:1
X +000.000Y +000.000Z +000.000
IP54 0.99
8-LED RING 0.99
4 MM LENS 0.98
ORIN NX, 8 GB 0.97
ROBOFLOW INFRASTRUCTURE TRUSTED BY OVER HALF OF THE FORTUNE 100
018MP4K sensor with 4 mm S-mount lens
021024CUDA coresNVIDIA Jetson Orin NX with 8 GB
038architecturesRF-DETR, YOLO, DINOv3, and SAM 3
0450k+modelsRoboflow Universe with deployment in seconds
01The Value
Turn what your cameras see into what your business knows.
Every frame on your line is raw visual intelligence. Pixels that already know whether a seal is complete, a label is aligned, a pallet is wrapped, or a worker is safe. AI1 turns those pixels into a structured business event your systems can act on.
Visual intelligence
RAW PIXELS- PXContinuous video from every station, every shift, every site
- PXSignals humans already read: defects, posture, fill level, orientation
- PXContext that no PLC, barcode, or weight sensor can capture
- PXTrapped in DVRs, discarded in buffers, never seen again
- PXInvisible to ERP, MES, BI, quality, and operations teams
Business intelligence
STRUCTURED EVENTS- BIDefect at 09:14:24 on Line B2, position 3, confidence 0.97, frame_id 8841
- BIStructured events land in MES, ERP, BI, and Slack in milliseconds
- BIPrevent downtime, lift yield, and audit safety with a record for every decision.
- BIEvery inspection is queryable, auditable, and tied to a SKU
- BIOperators, quality, and execs see the same ground truth
PIXELS→AI1: ON-DEVICE MODEL→STRUCTURED EVENT→DECISION
02Platform
One device runs the whole Roboflow stack.
AI1 runs the same Workflows, syncs to the same Deployment Manager, and emits the same Vision Events your team already builds against.
DEPLOYMENT MANAGER
Manage hundreds of sites from one pane.
Provision devices, push workflows, and monitor utilization across every plant from a single console. Send every update over the air.
OTAModel + security patches
RTSPGigE camera streaming
∞Sites per fleet
app.roboflow.com / deployment-manager
HMI
The dashboard on the factory floor.
AI1 includes a network-deployed HMI. Operators use any web browser on the OT network to view live streams, match rates, and defect counts. The HMI needs no extra hardware or cloud round trip.
<100msEdge round-trip
PASS / FAILPer-part verdicts
OPC-UA / MQTTPLC integrations
app.roboflow.com / hmi
VISION EVENTS
Every part, a queryable record.
Predictions, metadata, and operator feedback land as one structured event per part. Store events locally first, sync them to the cloud, and export them to any BI tool.
JSONStructured schema
APIQuery + export
SQL / BISnowflake, PowerBI, Grafana
app.roboflow.com / vision-events
03Enterprise
Connects to your floor’s protocols
on day one.
AI1 is an industrial endpoint, wired to the PLCs, MES, and ERP systems your plant already runs, on the same Roboflow Enterprise platform used by more than half of the Fortune 100. Structured vision events land where your operations team already looks: in Ignition, in SAP, in PowerBI, in Slack.
PLC & Machine Control
OPC-UAMQTTModbus TCPEtherNet/IPProfinetRockwellSiemens
Additionally Supported Cameras
RTSPGigE VisionBaslerFLIRLucidLuxonisReolinkUnifi
Security & Compliance
SOC 2 Type IIHIPAA + BAASSO / SAMLRBACAudit logSSL A+ (Qualys)
<100 msEdge round-trip, PLC-grade
SOC 2 and HIPAAEnterprise security, every deploy
VPC / On-premDeploy where your data lives
5 yearSoftware support + OTA patches
04Models
Run vision models on the edge.
A library of architectures optimized for the onboard GPU and updated over the air as new models ship, plus 50,000+ pretrained models on Roboflow Universe.
ON-DEVICERUNS NATIVELY ON AI1
RF-DETRRoboflow
SOTA object detection with real-time latency.
RF-DETR NASRoboflow
Neural Architecture Search finds the optimal RF-DETR variant for your data and hardware.
RF-DETR SegmentationRoboflow
Instance segmentation on the RF-DETR backbone with SOTA accuracy at the edge.
YOLO 11 / 12 / 26Ultralytics
Real-time detection supported for compatibility; RF-DETR is recommended for new projects.
YOLO-WorldTencent
Open-vocabulary detection that responds to text prompts.
SAM 3Meta
Open-vocabulary segmentation. Experimental on 8 GB VRAM.
DINOv3Meta
Self-supervised features for classification, retrieval, and zero-shot tasks.
Perception EncoderMeta
General-purpose visual encoder for downstream tasks.
50,000+ Universe modelsRoboflow Universe
Deploy any pretrained model from Roboflow Universe to AI1 in seconds. Community-shared models for thousands of common detection, classification, and segmentation tasks.
HYBRID CLOUDOFFLOADED AUTOMATICALLY WHEN NEEDED
Qwen3-VLAlibabaMoondream 2M87SmolVLM2HuggingFaceFlorence 2MicrosoftGemini 2.5GoogleClaudeAnthropicChatGPT VisionOpenAICosmosNVIDIA
+ 150 WORKFLOW BLOCKSCOMPOSE ANY PIPELINE
Object DetectionSegmentationKeypoint DetectionClassificationDepth EstimationQR Code DetectionByte TrackerLine CounterDetections FilterAuto-labelingOCRCustom Python+140 more
NEURAL ARCHITECTURE SEARCH
Search for the model that fits your data and hardware.
Fine-tuning an off-the-shelf architecture gives you a few points on a curve. NAS generates thousands of candidate architectures, evaluates them against your data and your hardware, then hands you the top performer.
10–100Models trained per search
T4, L4, L40S, Jetson, and CPUHardware-targeted optimization
Higher mAP, lower latencyPareto-optimal candidates
app.roboflow.com / nas
05How It Works
Capture, train, deploy,
and improve in one loop.
AI1 connects the line to the model. Production data feeds back into training automatically, so your team can improve the vision system as it runs.
01 / 05
Capture
Live video or event-driven frames stream from the AI1 sensor into the on-device pipeline.
02 / 05
Label + Train
Upload to Roboflow for labeling, correction, and fine-tuning, or start with a foundation model.
03 / 05
Workflow
Assemble models, logic, and integrations in a visual editor, then test the workflow locally without custom software.
04 / 05
Deploy
Push workflows to one device or the whole fleet in a single OTA action, with zero downtime.
05 / 05
Improve
Edge cases surface automatically. Retrain in the cloud and redeploy to close the loop.
06The Opportunity
Move inspection earlier
on the line.
A defect caught at the press is cheap. A defect caught at QA is expensive. A defect caught by the customer is a warranty claim. AI1 is compact and rugged enough to live at the station — not three rooms away in a vision cell.
PressSTATION 01AI1 CAUGHT
WeldSTATION 02AI1 CAUGHT
PaintSTATION 03AI1 CAUGHT
AssemblySTATION 04COST ×10
QA gateSTATION 05COST ×10
CAUGHT: RE-WORK IN SECONDSMISSED: RE-WORK IN WEEKS
07Use Cases
Built for problems where rules-based vision gives up.
The 8 MP sensor, 4 mm lens, and integrated LED ring deliver the image density modern models need to catch subtle differences across lighting, orientation, and SKU variety.
USE CASE: A
Variable defect detection
Catch inconsistent or subjective defects that are hard to describe with rules, including scratches, warping, and color drift. The things Keyence almost catches.
USE CASE: B
Complex assembly validation
Validate multi-part assemblies from every orientation. Verify each fastener and each cable route against the CAD model.
USE CASE: C
Multi-SKU environments
Change over without rebuilding logic. Swap workflows across SKUs and lines without rewriting PLC code. Use the same hardware for every SKU.
USE CASE: D
Context-aware pass/fail
Combine multiple signals (presence, orientation, color, count) into one decision. Push the result to a PLC, MES, or HMI.
USE CASE: E
Safety + compliance
Monitor hard hats, hair nets, lockout-tagout, and forklift zones with real-time alerts and structured audit events.
USE CASE: F
Logistics + inventory
Track assets across intermodal yards, warehouse docks, and receiving with counts and classifications on every pallet, without barcodes.
08Case Studies
What production vision at scale looks like.
4.8M
Carloads / yr
BNSF Railway
“Roboflow is helping us immediately realize value from state-of-the-art computer vision technology.”
Asim Ghanchi, AVP of Technology, BNSF Railway
50+
Manufacturing sites
USG
“The vision AI solutions we developed with Roboflow have been a core component of connecting our teams and unlocking their ability to collaborate.”
Lou Stocco, Director of Manufacturing Advanced Analytics, USG
1st
All-court AI broadcast
Fletcher Sports
“With Roboflow’s expertise, we were able to navigate the complexities of building and deploying finely-tuned models. This helps Fletcher improve the viewing experience for millions worldwide.”
Dwayne Pallanti, Director of Engineering, Fletcher Sports
18
Facilities
Pella Corporation
“Roboflow has been instrumental in accelerating our learning and deployment of innovative AI solutions.”
Travis Turnbull, VP & CIO, Pella Corporation
20M
Lbs of food analyzed
FloVision Solutions
Vision AI quantifies every cut, minimizing waste, improving yield, and producing a structured record of every pound that moves through the line.
FloVision Solutions, customer story
16,000+
Organizations
Roboflow
From Rivian and USG to GE Vernova, industry leaders deploy Roboflow vision AI across manufacturing, logistics, healthcare, and beyond.
1M+ developers, 36 model architectures
09Specifications
Industrial-grade, from the sensor to the boot sector.
OPTICS + SENSOR
Sensor8 MP CMOS (Sony IMX334 class)
Resolution3840 × 2160 4K @ 30 fps
Optical format~1/1.8" 2.0 µm pixels
Lens4 mm S-mount electronic focus
Field of view~665 × 374 mm @ 1 m 31° × 18°
LightingIntegrated 8-LED ring
COMPUTE
ModuleNVIDIA Jetson Orin NX 8 GB
CPU6-core ARM Cortex-A78AE
GPU1024 CUDA cores Ampere
Tensor cores32
Memory8 GB LPDDR5
Storage256 GB NVMe on-device
SYSTEM
OSRoboflow OS Yocto-based
Software support5 years OTA updates + security
Ingress protectionIP54
Power24V DC nominal 19–24V range
NetworkingGigabit Ethernet M12 connector
ConnectorIndustrial multi-pin Amphenol-style I/O harness
ROBOFLOW AI1SPEC SHEET, REV 26.04
All-in-one
camera
camera
- SKU
- AI1-8MP-4MM
- SENSOR
- 8 MP CMOS, 3840 × 2160
- COMPUTE
- Jetson Orin NX, 8 GB
- STORAGE
- 256 GB NVMe
- NETWORK
- Gigabit Ethernet, M12
- POWER
- 24V DC, 19–24V range
CAMERA, COMPUTE, AND LIGHTING IN ONE DEVICE. IP54. 5 YEARS OF OTA SUPPORT
AI1
FORMATPDF
PAGES2
REV26.04
Run the whole vision stack
on one device.
Still weighing edge against cloud? Read where to deploy vision models, see how Roboflow runs at the edge, or check pricing.
DWG-001, REV 24, scale 1:1
SKU: AI1-8MP-4MMIP54, 24V DC
Tweaks
Hero variant
Accent
Backdrop grid