Behavior● DEEPVIZOR / 01FallDetects a person falling so the event can be reviewed promptly.View detector ↗Deep video
analytics platform
Cameras, events, alerts, and analytics in one workspace. Deep integration with adjacent services and systems.
The interactive workspace is designed for a desktop browser.
Ready-to-use analytics:
people, vehicle, and object detection
Behavior● DEEPVIZOR / 01FallDetects a person falling so the event can be reviewed promptly.View detector ↗
Behavior● DEEPVIZOR / 02SmokingDetects smoking in monitored areas.View detector ↗
Behavior● DEEPVIZOR / 03Using PhoneDetects phone use in monitored work areas.View detector ↗
PPE● DEEPVIZOR / 04Safety HelmetChecks for the presence of a safety helmet.View detector ↗
Perimeter● DEEPVIZOR / 05Zone IntrusionDetects a person entering a protected area.View detector ↗
Traffic● DEEPVIZOR / 06Fire Truck Passage OccupancyDetects occupancy of an access route for fire trucks.View detector ↗
Safety● DEEPVIZOR / 07Smoke and FireDetects visible smoke and fire.View detector ↗
Cameras● DEEPVIZOR / 08Camera ObstructingDetects a camera view being covered by a hand, paint or another object.View detector ↗
PPEWorking UniformChecks work uniforms; training on the required uniform is needed.Learn more ↗
PPEHi-Vis VestChecks whether a person is wearing a high-visibility vest.Learn more ↗
PerimeterBoundary Crossing (Directional)Detects a virtual line being crossed in the specified direction.Learn more ↗
PerimeterPerson Zone LingeringFlags a person remaining in a monitored area longer than the allowed time.Learn more ↗
BehaviourGuardians Leave WorkstationDetects a guard leaving an assigned post.Learn more ↗
People countingPassenger Flow StatisticsCounts and analyses pedestrian flow.Learn more ↗
VehiclesForklift Cargo Entry/ExitDetects a forklift entering or leaving with cargo.Learn more ↗
VehiclesElectric BicycleDetects electric bicycles in monitored areas.Learn more ↗
Fire safetyIndoor Fire Escape Passage OccupancyDetects obstructions on indoor fire-escape routes.Learn more ↗
VehiclesVehicle Parking ViolationDetects parking violations in configured areas.Learn more ↗
CleanlinessGarbage Disposal PromptDetects overflowing waste containers to support collection planning.Learn more ↗
CleanlinessGround GarbageDetects litter and waste on the ground.Learn more ↗
BehaviourTaking PhotosDetects people taking photos or recording video.Learn more ↗
People countingZone Abnormal Number of PeopleDetects an abnormal number of people in a defined area.Learn more ↗
BehaviourLeave WorkstationDetects an employee leaving a workstation.Learn more ↗
BehaviourPhone CallingDetects a person talking on a phone.Learn more ↗
People countingPerson CountCounts the people currently visible in a camera view.Learn more ↗
BehaviourSleepDetects visual signs of sleeping at a monitored post.Learn more ↗
People countingZone OverpopulationDetects a monitored area exceeding its occupancy limit.Learn more ↗
PPEFace MaskChecks for the presence or absence of a face mask.Learn more ↗
Fire safetyFire Hydrant StatusMonitors visible fire-hydrant status and access to it.Learn more ↗
CamerasCamera Abnormal DisplacementDetects abnormal camera movement or rotation.Learn more ↗Video data.
Real-world action.
Cameras capture. Deepvizor identifies the event. Your team sees the context, while connected equipment follows the configured response.
Spot what matters
Detectors identify the events you define: a missing hard hat, a line crossing or smoke in the frame.
Understand the situation
Camera, time and video clip in one event stream. An operator reviews the event and routes it to the responsible team.
Respond on site
A configured workflow activates a voice warning, signal light or relay output.
Deliver events where they matter
Email, any messenger and enterprise systems through JSON API. Connect the channels your team uses and route events to the right people.
One login. All devices.
Open the dashboard on one Deepvizor device and manage the others from there. Multiple devices, one administration interface.
From an event
to a response.
Do we need to replace existing cameras?
We start with available RTSP streams. Your camera and recorder connections are checked before deployment.
Where is video processed?
On your site, using a microserver or AI server. The configuration is selected for your camera count and analysis tasks.
What happens after detection?
An event includes the camera, time and video clip. The agreed workflow then notifies the team or triggers connected equipment.
Where can we send notifications?
To email, any messenger and enterprise systems through JSON API. We configure recipients and channel integrations to fit your workflow.
How do we manage multiple devices?
Sign in to the dashboard on one Deepvizor device. Manage other connected devices from there, without opening a separate dashboard for each one.
Can we connect relays and an IP speaker?
A relay sends a signal to a siren, indicator or controller. An IP speaker plays a warning. Interfaces and commands are checked for the selected models.
Does an operator need to approve every alert?
The response is defined for the task: an automatic warning or an action after operator review. Rules and permitted workflows are agreed during the pilot.
Can we use sensor data?
Sensors connect through supported inputs, adapters or gateways. Connectivity and data use are agreed for the specific equipment.
How do we reduce unwanted alerts?
We configure zones, schedules and event conditions. Missed events and false alerts are checked against real video before refining the rules.
How do we start?
Choose one task and a few cameras. The pilot checks the complete chain: detection, event delivery, notification and the connected device.
Existing cameras.
New capabilities.
Deepvizor adds artificial intelligence to your video surveillance system. Cameras keep recording while AI identifies objects, detects configured events and helps your team respond in time.
Connect your existing cameras
Use streams from your current surveillance system. Add Deepvizor compute hardware on site, without replacing cameras across the facility.
AI recognizes objects
Identify people, vehicles and other objects relevant to your task. Detectors analyze visual content, rather than just changes between frames.
Turn movement into an event
A sequence of frames helps identify line crossing, actions or prolonged presence in a zone. Zones, timing and conditions define your scenario.
Give your team a signal to act
An event frame and context are available to the operator. Notifications reach the right channels; configured rules can trigger a warning or a relay output.
Every camera can do more.
People, vehicles, and work zones stay within the system's view.






Your infrastructure.
One connected workflow.
Cameras and peripherals in one event chain. Notifications to email, any messenger and enterprise systems through JSON API. Deepvizor devices managed from one dashboard.
Discuss integration ↗JSON API
Integrate Deepvizor with any enterprise system through JSON API. Send events and analysis results into your operational workflows.
Enterprise systemsNotifications
Send events to email and any messenger. Connect JSON API and Webhook for external workflows.
Email · messengers · WebhookEthernet / PoE
The local network connects compute and network devices. The selected IP speaker receives power over PoE.
Local infrastructureRelays and dry contacts
Send a signal to a siren, light indicator or controller input through independent relay contacts.
DV-RL-02 / DV-RL-04RS-485
Connect relays, controllers and sensors through a supported bus, adapter or gateway. The protocol is agreed for the device.
Controllers and gatewaysIP notification
Play a warning in the required zone. Playback commands and speaker compatibility are checked during integration.
DV-SP-01Less footage review.
More control.
Use cases that support teams in daily operations.
Personnel safety
Monitor PPE, falls, and unsafe behavior. Route events to the responsible person with the frame and trigger time.
02 / PROCESSES ↗Work zone monitoring
Track presence in a zone and time away from a workstation. Set allowed absence time for each process.
03 / SITE ↗Perimeter protection
Define restricted zones and crossing lines. Receive intrusion alerts and verify them using the related video.
04 / LOGISTICS ↗On-site traffic
Monitor movement, congestion, and parking. Use events to investigate situations at entrances and across the site.
05 / EVENTS ↗Incident review
Filter alerts by camera, time period, and event type. Reconstruct incidents without reviewing the entire archive.
06 / MONITORING ↗Camera health monitoring
Detect displacement and blocked views. Maintain monitoring quality across individual sites and distributed networks.
Compute.
At your site.
From four cameras to server infrastructure. Microservers and AI servers for local Deepvizor video analytics.

DV-AIBOX-C-4
Compact video analytics for small sites and up to four local camera streams.
- 4 TOPS INT8
- up to 4 streams
- 8 GB RAM

DV-AIBOX-P-1U-32
A 1U rack server: 32 TOPS INT8 for local analysis of 32 video streams.
- 32 TOPS INT8
- 32 video streams
- 16 GB LPDDR4

DV-AISERVER-P-96-8
Two AMD EPYC processors, up to eight AI cards and 10GbE SFP+ networking.
- up to 8 AI cards
- 96 tasks / card
- 2 × AMD EPYC
Articles
Explore the blog ↗- 01 / OPEN-VOCABULARY DETECTION / OV-DEIM
Finding objects with text: how OV-DEIM works
Beyond a fixed class list: how OV-DEIM links images with text, including experiments on rare categories.
- 02 / EDGE INTELLIGENCE / EDGECRAFTER
Video analytics at the edge: the EdgeCrafter study
Transferring knowledge from a large model to a compact one. EdgeCrafter’s three training stages, three vision tasks and COCO results.
- 03 / REAL-TIME DETECTION / DEIMv2
Real-time object detection: DEIMv2 meets DINOv3
Bringing foundation-model features to fast detection. DEIMv2 architecture, its spatial tuning adapter and COCO results.
- 04 / SEGMENTATION / GTR
Image segmentation in video analytics: the GTR method
AI can assign pixels to objects and scene regions. GTR explores how detailed visual understanding can be combined with efficient processing.
- 05 / DETECTOR ADAPTATION / FT-FSOD
Training an object detector from a few examples: FT-FSOD
Adapting recognition to a new factory or object category with limited annotations. The FT-FSOD method and how to evaluate its transfer.
See Deepvizor
on your use case.
Demo, pilot, and detector selection tailored to your site.















