Native recognition on the Hanwha cameras you already own
Hanwha is eConnect’s flagship camera partnership. Recognition runs natively against installed Hanwha streams at full frame rate, so an existing camera estate becomes an identity layer without new hardware, new cabling, or a forklift upgrade.
How the partnership works
eConnect connects directly to Hanwha cameras and NVRs over standard streaming protocols, pulls the highest-quality substream the recognition pipeline needs, and processes it in real time. There is no proprietary sensor and no separate camera to mount at the entrance.
Where Hanwha AI-series cameras perform on-board detection, eConnect consumes those metadata streams instead of re-deriving them, cutting server load and letting a single appliance carry a substantially higher channel count at the same recognition accuracy.
What the integration delivers
Direct stream ingest
eConnect reads Hanwha cameras and NVRs over standard protocols. No middleware, no proprietary sensor.
AI-camera metadata consumption
On-board detection from Hanwha AI-series cameras is consumed directly, reducing server load per channel.
High-density channel support
Thousands of Hanwha channels are handled from one intelligence layer across a property or a portfolio.
Sub-second recognition
A face is matched and the alert is raised before the subject clears the entrance.
What it changes for the operator
Business outcomes, not feature lists. This is what the property gets out of the integration.
The camera budget is already spent
Recognition comes online against the Hanwha estate on the wall today. There is no capital request for new hardware.
Investigations in minutes, not days
A single photo resolves to a full timeline, the associated video, and every linked event. Reviewers stop scrubbing footage and start reading answers.
Bans that actually hold
A person removed once is recognized on their next visit, whether that is next week or three years later. Enforcement stops depending on who happens to be on shift.
Lower cost per channel
Consuming on-board AI metadata rather than reprocessing every frame raises the channel count a single server carries.
How the data moves
eConnect reads from the partner platform, resolves identity, and returns intelligence. Nothing is replaced.
Hanwha Cameras & NVRs
Partner platform
eConnect
Intelligence layer
Hanwha cameras stream directly into eConnect, which returns alerts, analytics, identity records, and video intelligence.
Native camera integration
eConnect talks to Hanwha hardware directly. Streams are pulled over standard protocols from cameras and NVRs already commissioned on the property, at the resolution and frame rate the recognition pipeline needs, with nothing inserted in the video path.
Direct RTSP and ONVIF ingest from Hanwha cameras and NVRs
Substream selection tuned per camera for recognition quality
No middleware appliance and no change to the recording path
Works alongside any VMS already recording the same cameras
AI-ready deployments
Hanwha AI-series cameras already detect and classify objects at the edge. eConnect consumes that metadata rather than repeating the work, which is what makes a high channel count economical.
On-board detection metadata consumed instead of re-derived
Edge classification narrows the frames sent to recognition
Server capacity scales with faces of interest, not with cameras
Upgrade path preserved as newer Hanwha AI models are installed
High-performance analytics at enterprise scale
Recognition is only useful if it keeps up with the door. eConnect matches in under a second across thousands of concurrent Hanwha channels, and the analytics layer aggregates those detections into occupancy, dwell, and repeat-visit intelligence the business side can use.
Sub-second matching under live entrance load
Thousands of concurrent channels from one intelligence layer
Occupancy, dwell, and repeat-visit analytics from the same feed
Recognition accuracy independently measured by NIST at 99+%
Casino and venue deployments
Hanwha estates in casinos, arenas, and entertainment venues are where this partnership does its work. Entrances, gaming floors, cages, registers, and parking structures all feed the same identity graph.
Entrance and gate recognition for self-exclusion and ejections
Register coverage bound to the POS transaction journal
Parking-structure cameras paired with eConnect LPR
One identity record across every Hanwha camera on the property
Where it earns its keep
Casino entrance recognition
Existing Hanwha entrance cameras become the self-exclusion checkpoint, with no camera moved and no lane closed.
Stadium gate throughput
Recognition at every gate identifies previously ejected fans without slowing the queue on a sold-out night.
Restaurant and bar loss prevention
Hanwha cameras over the register are bound to the POS journal, and voids are matched to the face at the terminal.
See eConnect and Hanwha working together
We will walk through the integration on cameras and systems like yours. Most demos take thirty minutes.