The OM says 24 cameras. The multiview says 17 live, 4 frozen, 2 black, 1 duplicate. That gap is what this page is about.
Every guide to multifamily real estate investment teaches you the same eight things: cap rate, cash-on-cash, IRR, financing, syndication, market selection, Class A vs B vs C, and hold-period strategy. MRI Software, AssetBar, DOOR, Crexi, BAM Capital, Viking Capital, CRE Daily, Rod Khleif. Search that keyword and not one of the top results names a DD step for verifying that the seller’s advertised cameras are actually producing live video at the moment of the site visit. Because, until a $450 HDMI tap could read the DVR’s own multiview output, nobody could verify it cheaply enough to matter.
This is that step. Plug into HDMI inline on the closet cable, wait 2 minutes, read a 5 state vector: live_video, frozen_frame, black_signal, duplicate_feed, no_signal. Before the LOI is signed, the investor knows exactly which of the seller’s cameras are not actually producing live video, by tile label, on the seller’s own recorder, without a DVR password.
See a live DD audit in 15 minutesWhat the top search results for this keyword do not name
The top results for “multifamily real estate investment” are a predictable set: investor-education publishers, syndicators, and CRE media. They cover the standard topics and they cover them well. Cap rate methodology, cash-on-cash computation, agency vs bridge financing, syndication mechanics, how to pick a Sun Belt metro, when to exit. Read any five and you will be literate on the financial model.
The operational physical asset audit is a different conversation. A Property Condition Assessment covers roof, plumbing, HVAC, pavement. A Phase I covers environmental. An appraisal covers comps and value conclusion. None of them list a line for “confirm the cameras on the wall monitor are actually rendering live video.” It is not an oversight, it is a cost problem. A consultant walkthrough is too expensive per property. A manual DVR login needs the seller’s password. An RTSP enumeration needs network access that the seller’s IT vendor is not going to grant to a prospective buyer.
The HDMI tap cuts through all of that. It reads what the monitor is already rendering. It needs no credentials. It returns a shape the investor can put in a memo. That is the gap this page fills.
The 5 state classifier, in one diagram
The inputs are the tiles on the DVR multiview, which is whatever layout the on-site operator configured. The classifier is an on-device model that runs on the edge unit. The outputs are the places a multifamily investor actually uses the finding: the DD memo line item, the LOI price, the capex budget in the first 30 days of the hold, and the GL insurance conversation.
HDMI tiles in. Rendering-state vector out. Negotiation leverage downstream.
What the classifier writes to the dashboard in the first 2 minutes
Before any event indexing starts, the detector produces a single JSON object. It names the property, the capture window, the total tiles, the 5 state vector, the labels of the non-live tiles, and the delta against the advertised count from the OM. This is the first artifact the investor carries out of the office closet.
The 5 rendering states are the first output of the detector, before any event indexing begins
Every tile on the DVR multiview is assigned exactly one of five rendering states. live_video is a tile with pixel deltas above threshold every decode window. frozen_frame is a tile with no pixel delta for more than 15 seconds. black_signal is a tile whose luminance is under threshold for more than 2 seconds. duplicate_feed is a tile whose pixels match another tile for more than 90 seconds. no_signal is a tile where the DVR’s own no-signal overlay text is detected and persists.
This is what makes the audit tractable inside a 5 minute DD stop. The investor does not need to wait for a monitoring window. The classifier runs on the edge unit the moment HDMI is live. A 120 second dwell is enough to resolve frozen_frame and duplicate_feed with high confidence. The output is one vector and one label list.
Toggle between what the seller says and what the tap measures
Same property. Same DVR. Same multiview on the wall monitor. The only thing that changes between the two tabs below is whether a $450 edge unit has been inline on the HDMI cable for 2 minutes.
The DD site visit, with and without the tile classifier
The OM lists 24 cameras. The leasing tour shows the wall monitor in the office closet with a 24 tile multiview glowing behind the property manager's chair. The investor nods. Nobody in the chain of custody, not the listing broker, not the consultant, not the seller's property manager, can tell the investor in a defensible way how many of those 24 tiles are rendering live video right now versus a frozen frame from 3 weeks ago, a black rectangle from a dead POE switch, or a duplicate of the tile next to it.
- OM advertises 24 cameras
- No defensible verification of live count
- Tour guide and wall monitor are the only evidence
- Any delta is discovered post-close, if at all
The 5 step DD stop, from office closet to LOI edit
The audit is a well-scoped 5 minute intervention. The inspector does not need an IT background, the seller does not need to be informed mid-visit, and the recorder does not need to be touched beyond the HDMI cable at its back panel.
From HDMI cable to negotiated LOI
Find the closet, find the HDMI cable
The DVR is almost always in the office closet, the leasing office desk, or a maintenance shed. The HDMI cable runs from the recorder to a wall monitor. Under 5 minutes of walking and looking.
Insert the edge unit inline, wall-outlet power
Unplug the HDMI, plug it into the unit's input, plug the unit's output into the monitor. Wall outlet for power. The DVR does not notice. The monitor continues to display exactly what it was displaying.
120 second dwell for the classifier
The device runs the detector on its own GPU. At second 15 the classifier has most tiles labeled. At second 90 it has resolved candidate frozen_frame and duplicate_feed tiles. At second 120 it writes the final 5 state vector.
Read the vector on the inspector's laptop
Dashboard shows the live_video count, the three non-live counts, the labels of the non-live tiles, and the delta against the OM-advertised camera count. One screen, one JSON, one PDF summary.
Translate the delta into DD memo and LOI
The non-live count becomes a line in the DD memo. The capex implication on the non-live tiles becomes an adjustment in the underwriting model. The LOI goes out with a number, not a speculation.
A live terminal session against the tile classifier
The data is not hostage to a proprietary UI. The same output the dashboard shows is queryable from a terminal, which is useful when the inspector wants to drop the numbers directly into a shared DD spreadsheet without manual transcription. This is what a real audit query looks like.
The 6 investor workflows the tile vector unlocks
The tile vector is a tiny artifact, 9 keys in one JSON object. The places the investor uses it across the lifecycle of the deal are not small. Each card below is something investors have done with the output in real DD cycles.
Bring a measured non-live count into the LOI
The investor names the delta in the LOI cover letter. The seller cannot dispute the number because it was measured on the seller's own recorder. Concrete deltas land better than generic DD language.
Price the capex adjustment
Each non-live tile implies a repair, replacement, or rewire. The tile labels tell the investor which ones. Capex line gets a measured count, not a round-number placeholder.
Flag frozen cameras for insurance
GL carriers ask for working camera counts at renewal. A frozen_frame tile that appears live on a dashboard is the worst of both: the insurer prices it as protection, the asset does not actually have it.
Compare the advertised amenity to reality
Listing agents write amenity descriptions including camera count. The tile vector is the first tool that lets the investor verify the claim before the LOI, not post-close.
Build a day-30 punch list
The non-live tile labels become a named task list for the new property management team on the first day of the hold. No ambiguity about which cameras need attention.
Quarterly audit on assets you already own
Same classifier, run every quarter on the portfolio. Drift in the live_video count across quarters is an operational KPI the GP can report to LPs.
Representative numbers from a real 24 tile audit
From a 312 unit Class B multifamily asset in Texas, DD stop, HDMI tap on a Hikvision DS-7716NI-K4, 24 active tiles on the multiview. The numbers below are what the inspector carried back to the underwriting meeting the next morning.
How multifamily buyers discover dead cameras today, versus with a tap
Every investor who has held multifamily for more than a year has a story about discovering, months after close, that a fraction of the cameras never worked. The table is what the two paths to that discovery look like side by side.
| Feature | Status quo DD | HDMI tile classifier (Cyrano) |
|---|---|---|
| Point in time when the dead camera count is known | Months after close, usually after an incident | 120 seconds into the DD site visit |
| Cost to run the audit per property | $0 up front, $10k to $40k of capex surprise later | $450 hardware, $200 per month software, reusable |
| DVR admin credentials required | Yes, from the seller's on-site manager | None, HDMI output is read-only |
| Network access to the property required | Yes, VPN or RTSP port access | None, edge device runs on-device inference |
| Cooperation from the seller | Yes, including password and staff time | None beyond closet access |
| Shape of the output | A sentence in a closing memo, maybe a photo | A JSON vector, a PDF summary, and 7 tile labels |
| Per-tile labels of non-live cameras | Not produced | Produced, ranked by confidence |
| Transfers with the property at close | n/a | Unit stays. Subscription transfers. |
“At one Class C multifamily property in Fort Worth, Cyrano caught 20 incidents including a break-in attempt in the first month. Customer renewed after 30 days.”
Fort Worth, TX property deployment
“We added a tile-state line to our DD template last cycle. On the first property we used it on, 7 of 24 advertised cameras were not producing live video. The capex delta was larger than the cost of the device and a year of software combined, and we had the number the morning after the site visit.”
Run the tile classifier on your next DD site visit
15 minute call. We walk through the 5 state vector on a live DVR and show you the JSON artifact that goes on the DD memo before the LOI.
Book a call →Frequently asked questions
How is this different from the existing Cyrano page on investing in multifamily real estate?
The other page is about a 30 day indexed event log that becomes a pro forma line item. This page is about what happens in the first 5 minutes, before any events are counted. The detector's first output is a per-tile rendering-state vector across 5 states: live_video, frozen_frame, black_signal, duplicate_feed, no_signal. That output exists the moment the HDMI tap is powered on, long before the 30 day window that produces the pro forma number. The two are complementary outputs from the same device: one is an asset condition audit for the DD visit, the other is a portfolio comparable for the underwriting model.
Why do so many advertised cameras not render live video on the DVR multiview?
A few reasons, all of them common. First, POE power fails silently and the camera stops transmitting but the tile stays on the multiview as a black rectangle with a channel label. Second, a weather event or a physical impact freezes the camera at its last decoded frame, which looks correct in a thumbnail but is actually a still image. Third, the DVR operator copied a working channel over an unused one during a prior troubleshooting session and forgot to change it back, producing duplicate_feed. Fourth, the coax run was cut during a sub-contractor visit and the channel was never disabled on the DVR. None of these are visible from a leasing tour walkthrough. All of them are visible from the HDMI output of the DVR within seconds.
Does this require any coordination with the seller's property manager or IT team?
No. The edge device reads the HDMI output the same way a wall monitor does. There is no log-in to the DVR, no access to the RTSP stream, no admin credential change, no port opened on the network. The cable goes inline between the DVR and the monitor that is already in the office closet. If the investor's inspector or consultant can find the closet, they can run the audit. When the DD visit ends, the cable goes back to the recorder and the device goes with the investor, unless the LOI is signed.
What counts as a frozen_frame vs a black_signal in the classifier?
black_signal is any tile whose pixels are under a luminance threshold across the full tile area for more than 2 seconds, which matches the case where the camera is not transmitting at all and the DVR renders a default black rectangle. frozen_frame is a tile whose decoded pixels do not change for more than 15 seconds, which matches the case where the camera is transmitting but its encoder or sensor has stalled and the DVR is rendering a still image. The two look similar to a human glancing at a multiview but mean very different things for the asset: black_signal usually means a POE or coax failure, frozen_frame usually means a camera that needs to be rebooted or replaced.
What is duplicate_feed and why does it happen?
duplicate_feed is two or more tiles on the multiview rendering the same pixels for more than 90 seconds. It happens when the on-site operator remapped a channel during troubleshooting and the override stuck, or when a camera was physically removed and the DVR channel was reassigned to an adjacent camera without updating the channel map. It shows up as two tiles with different labels but pixel-identical output. Investors who discover duplicate_feed during DD know that the seller is advertising more cameras than are physically installed, which affects both the replacement capex estimate and the insurance conversation.
How accurate is the classification in the first 60 seconds after HDMI power-on?
The classifier runs on a sliding window. By second 15 it has classified every tile as either live_video or candidate for one of the four non-live states. By second 90 it has resolved the candidates: frozen_frame requires 15 seconds of no pixel delta, duplicate_feed requires 90 seconds of pixel-identical output against another tile, no_signal requires the DVR's own no-signal overlay to persist. A 2 minute dwell produces the final 5 state vector. On a 16 tile multiview at a Class B property this is about $450 of hardware and under 5 minutes of DD time to answer a question the OM does not answer.
Is this a substitute for a professional security audit during DD?
No. A security consultant walkthrough asks questions the tile vector cannot answer, like whether the cameras are aimed correctly, whether the angles miss an obvious blind spot, whether the on-site staff know the DVR password, and whether the documented access control procedure matches reality. What the tile vector does is close the gap between what the seller says is installed and what the DVR is actually rendering right now. The consultant walkthrough and the tile vector are complementary: the consultant tells you what the program looks like, the tile vector tells you what the hardware actually does.
Does the tile vector show up on the seller's DVR UI or on their monitoring platform?
No. The tap reads HDMI output, runs the classifier on its own on-device GPU, and writes the vector to the Cyrano dashboard that the investor holds. It does not write anything back to the DVR. It does not send anything to the seller's cloud VMS if one is configured. The seller's on-site staff do not see the audit happen and do not see the result. The unit draws power from a wall outlet in the closet, the rest of the stack is not touched.
What is a realistic tile vector on a 24 camera Class B multifamily property?
From an actual DD audit on a 24 tile multiview at a Texas Class B property: live_video 17, frozen_frame 4, black_signal 2, duplicate_feed 1, no_signal 0. The seller's OM listed 24 cameras and used that number in the amenity description. 7 of the 24 were not producing live video at the moment of the site visit. The investor used the delta to renegotiate the security-related capex assumption on the DD memo and adjusted the LOI accordingly. The capex delta was larger than the cost of the Cyrano hardware and 18 months of software combined.
Does this matter on a portfolio I already own?
Yes. The same audit runs on stabilized assets you already hold. The tile vector tells you, for every property in the portfolio, how many of the cameras you are paying the regional manager to keep operational are actually operating. A portfolio with 6 sites and an average of 22 cameras per site typically has 20 to 30 cameras in a non-live state at any given time across the portfolio. The audit becomes a quarterly operational discipline check alongside the T-12 and the rent roll.
What does the investor do with the finding once the audit is done?
Four things. First, the tile vector goes into the DD memo as a measured number, not a seller claim. Second, the delta between the advertised camera count and the live_video count translates into a capex adjustment on the underwriting model. Third, the frozen_frame and no_signal counts feed the GL insurance conversation, since a working camera count affects carrier modeling. Fourth, the specific tile labels in the non-live states become a punch list for the property management transition plan at close: these are the cameras that need to be rebooted, replaced, or rewired in the first 30 days of the new ownership.
How does the tile vector interact with a cloud VMS if the seller has one installed?
If the seller is already running a cloud VMS, the tap still works, because the tap reads the HDMI output of whatever recorder or NVR is driving the monitor. The cloud VMS dashboard is the seller's own management surface, which the investor usually does not have credentials for. The HDMI tap is what gives the investor a read without asking for those credentials. In practice, most Class B and Class C multifamily assets do not have a cloud VMS, so the question is moot. On the rare Class A asset with a cloud VMS, the tap is still the fastest way to verify the advertised camera count independently of whatever the seller shows on a platform screen.
Adjacent reading for multifamily buyers
Investing in Multifamily Real Estate: The Operational Security Line Item
The 30 day indexed event log that turns operational security into a pro forma input, alongside vacancy and bad debt.
Multifamily Camera Technology Budget Guide
How to budget for camera infrastructure across a multifamily portfolio without overpaying for a rip-and-replace.
Multifamily Security Camera Upgrade Without Replacement
Adding AI analytics to the DVR that already exists, instead of a rip-and-replace camera project.
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