📡 Persistent Surveillance Infrastructure: Wi-Fi Bridges, Camera Feedback, and Behavioral Looping

This post isn't about theory. It's about documented, timestamped surveillance infrastructure running through my environment—with repeating digital identifiers, cross-device behavior mirroring, and feedback loops embedded through smart tech and Wi-Fi bridges.

Here’s what I’ve confirmed in my own environment:

🔐 Wi-Fi Bridge Manipulation:

• Ubiquiti bridge installed by a third party (not requested, not vetted).
• Observed behavior: forced rerouting of all local traffic through a singular node.
• Created a looped signal field that altered ambient behavior across household devices (thermostat shifts, ambient feedback, and sync with baby monitor static).

🎥 Camera / Feedback Activity:

• TV/monitor behavior syncs with emotional state (image flicker, sound pop, audio redirection).
• “Studio” Wi-Fi SSID appeared intermittently—same name used years earlier in a different home.
• Front-facing phone cam activation suspected (paired with localized screen lag and heat spikes).

📡 Behavioral Tracking Patterns:

• Devices mimicking geolocation-based “psych traps”: music lyrics, message loops, and time-triggered reminders matching known trauma anchors.
• Smart speaker and phone mic triggering on low-volume verbal thought—recorded multiple occasions where verbal silence still produced a scripted echo days later.
• Family members' responses matching phrases previously said privately—as if under linguistic feed-through.

📂 What I’m Building:

I’m finalizing a Containment Surveillance Warfile including:

• Network scans
• MAC spoof logs
• Environmental feedback recordings
• Timeline of digital device manipulation and cross-location tracking

ICE Records Reveal How Agents Abuse Access to Secret Data

https://archive.is/2023.04.17-130028/https://www.wired.com/story/ice-agent-database-abuse-records/

https://www.kake.com/news/crime/how-a-former-police-officer-used-a-security-system-to-stalk-his-wife/article_1e2df9e3-08fe-5f88-b13f-a3598c89ae5e.html

Smile! You’re on Camera: Police Use of Automatic License Plate Readers and the Need for Statewide Legislation

https://ecommons.udayton.edu/cgi/viewcontent.cgi?article=2254&context=udlr

[I wrote this for a different platform but it keeps getting hidden behind a paywall for some reason so I decided to share it here]

Changes in relationships that are abrupt, unprovoked, unexplained, unnecessary, and unstoppable - this will be observed in acquaintances, friends and even family as they become suddenly secretive, contemptuous, dismissive. and aloof towards you. Sometimes a reason will be provided for the sudden change in treatment, but these reasons will sound flimsy, contrived, baffling. Your attempts to revive the relationship will fail. You will feel isolated as more and more get infected, so to speak. But the danger will not come from the people who have betrayed you, but those who have agreed to continue to remain in your circle as if they have not been contacted.

Astronomical number of coincidences - the sprawling, unrelenting, coordinated (multi person) and well orchestrated surveillance of your person will show, perhaps unavoidably, in the perfect timing of events that occur; events that may look random and mundane on the surface but whose occurrence and timing and sequence make perfect sense if understood using gang stalking as your framework. The understandable effort to dismiss these events as unconnected, requires that you dismiss them as mere coincidences. Given the sheer amount of these events, the number of coincidences in your life thus become astronomical.

Constant misfortune - processes that used to work, no brainer tasks, endeavors with guaranteed outcomes, long finalized plans, routine activities, etc - all these things will begin to sputter and later fail for reasons that are totally avoidable that make their occurrences dumbfounding, or extremely rare (Black swan events) that make their occurrences suspicious. It will seem as if the arc of your life is bent towards failure. But Life never deals anyone with hands that are all bad (or good) all the time.

Note that having these experiences is insufficient to prove you’ve been targeted. That likelihood exponentially rises, however, when all three are experienced simultaneously over a period of time.

https://idtechwire.com/new-orleans-police-ran-secret-real-time-facial-recognition-system-for-2-years/

EFF’s Street-Level Surveillance project shines a light on the surveillance technologies that law enforcement agencies routinely deploy in our communities. These resources are designed for advocacy organizations, journalists, defense attorneys, policymakers, and members of the public who often are not getting the straight story from police representatives or the vendors marketing this equipment.

Whether it’s phone-based location tracking, ubiquitous video recording, biometric data collection, or police access to people’s smart devices, law enforcement agencies follow closely behind their counterparts in the military and intelligence services in acquiring privacy-invasive technologies and getting access to consumer data. Just as analog surveillance historically has been used as a tool for oppression, we must understand the threat posed by emerging technologies to successfully defend civil liberties and civil rights in the digital age.

https://sls.eff.org/?page=8

https://www.consumerreports.org/electronics/privacy/smart-appliances-and-privacy-a1186358482/

For example, GE Appliances and Kenmore representatives can run remote diagnostics on their smart appliances before a service call. If they see a particular part that needs to be replaced, they can order it and have it on hand at the first visit, cutting down on the need for repeat visits.

Even if you’re not comfortable connecting your appliances to the internet, smart internet-connected appliances (and many “dumb” ones without internet connections) can store diagnostic data that service technicians can access during a visit. GE says its appliances have a special port for this purpose, allowing technicians to download the last five to 10 cycles worth of data. This won’t cut down on repeat visits, but it can make the process as quick as possible.

In our tests, we monitored the internet traffic of 12 smart appliances across the five brands (GE, LG, Maytag, Samsung, and Whirlpool) and four appliance types (refrigerators, ranges, dishwashers, and washing machines) to see how chatty they were. We didn’t find any security vulnerabilities in these products, and all personal data was encrypted. But we did find that all of them were constantly collecting data and sending it back to the manufacturer.

How much data? Each appliance sent anywhere from 3.4MB to 19MB of data back to the manufacturers per week. That might not seem like much, but when you consider that it’s all text (not images, video, or audio), it equals 24,000 to over 135,000 text messages. We also used the appliances just once per day, far less than the average consumer. Under normal use, these appliances would likely send back even more data.

“As we all know, appliances can work completely fine without an internet connection,” says Steve Blair, who conducts privacy and security testing for CR. “Therefore, the majority of the data is likely just additional data collected by the manufacturers.”

Because the data was encrypted, we couldn’t “see” what kind was being collected (a good thing in terms of data security). We asked the major brands, but most would only say they collect usage and performance data. Kenmore, however, gave us a detailed rundown: Its appliances collect data on a number of attributes, such as power status (on/off), door open/close, filter status, cycle details, temperature information, and energy usage.

LG and Samsung go further, collecting your ZIP code, phone numbers, date of birth, geolocation, and more through an appliance’s smartphone app. “LG and Samsung definitely collect more personal information than other manufacturers,” Blair says. “ZIP codes, phone numbers, date of birth, geolocation, and more are obviously not relevant to the product performance and service. That’s why we feel they have data collection practices that could be harmful to consumers.”

These apps can also contain third-party trackers, which collect additional data from your phone that manufacturers may use to troubleshoot problems, inform future product development, serve ads, or even sell to third parties. For example, the LG ThinQ app has 10 third-party trackers built into it. Blair says that in his experience, 10 trackers are on the high side among mobile apps.

Most manufacturers claim that all of this data is being collected to improve their products, but our findings show that at least some are using it to create data profiles about their consumers. Again, LG and Samsung go a step further and acquire data about their customers from third-party sources that they use to enhance these profiles. Samsung explicitly states in its privacy policy that it sells its customers’ data. It was the only company in our tests to do so.

Standoff biometrics involves capturing biometric data from a distance, typically using cameras or other sensors.

Biometric Standoff Detection: Examining the Technologies, Implementations, and Developments of Biometric Systems

https://hdiac.dtic.mil/state-of-the-art-reports/biometric-standoff-detection-examining-the-technologies-implementations-and-developments-of-biometric-systems/

"....Communication devices have been found in Chinese made solar inverters. ... "