Case study

How SurveillanceGrid cut city wireless latency from 40–60 ms to under 10 ms

Cameras on a city network kept dropping offline, and every wireless link ran slow, at 40–60 milliseconds (ms) of latency. Within minutes of deploying eyeOT, SurveillanceGrid found the cause: one misaligned antenna.

Logan Rosenberger, SurveillanceGrid, on what changed with eyeOT.
  • <10 mswireless latency in milliseconds, down from 40–60 ms
  • 500+devices in one live inventory
  • Minutesto find the misaligned antenna behind the slow wireless links

The challenge

SurveillanceGrid supports a city’s camera network of more than 500 devices. Cameras and radios dropped offline with no clear explanation, and every wireless link ran at 40–60 ms, which hurt camera performance across the city.

The team’s SNMP tools could confirm that something was down, but not why. Engineers spent their time chasing symptoms, and taking the service to new cities was risky without a reliable way to check device health.

The solution

SurveillanceGrid deployed the eyeOT platform on the city network. Within minutes, eyeOT flagged a misaligned antenna on one radio, the source of the 40–60 ms latency.

  • Auto-discovery built a live inventory of 500+ radios, switches and cameras
  • Real-time monitoring of device health across the network
  • Engineers isolate problem devices, like a radio that keeps dropping, instead of chasing “down” alerts

“It’s made my job 10 times easier, if not 100 times.”

Logan RosenbergerSurveillanceGrid

The results

  • Latency cut by 80%. From 40–60 ms to under 10 ms across nearly every link, and it stayed stable.
  • Full visibility of 500+ devices. Radios, switches and cameras in one live inventory.
  • Faster root-cause detection. Problem devices are isolated quickly instead of chased.
  • More cities, no added headcount. SurveillanceGrid has rolled eyeOT out at more municipalities.

Custom demo

Stop guessing why cameras drop.

Bring one site. We’ll show you how eyeOT maps its radios, switches and cameras and flags what needs attention.

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