1Degree’s AI analyzes every camera feed in the cloud, screening out wind, wildlife, and passing traffic before an event ever reaches a human operator. Detection and footage are processed off-site, so nothing can be erased by tampering with equipment on the property.
Raw camera and sensor triggers are mostly noise. Industry data consistently puts the share of alarm signals that turn out to be false in the 90 to 98 percent range, driven by wind, wildlife, passing traffic, and routine site activity.
1Degree’s cloud video analytics apply AI object and behavior detection to every camera feed before it reaches a person. Only activity that matches real event patterns gets escalated to our operator bench, so your monitoring company spends its time on threats instead of noise.
Because processing and footage storage happen off-site, a monitoring company gets an independent record of every event, one that can’t be altered or deleted by anyone at the property.
AI filters out wildlife, weather, and passing traffic before an alert is ever raised.
Only activity that looks like a genuine event reaches an operator, cutting the time spent reviewing noise.
Footage and analysis are processed and stored away from the property, so they can’t be tampered with on scene.
Detection is tuned as site conditions change, so accuracy keeps improving over time.
Monitoring companies that rely on raw motion detection run into the same problems again and again. Here is what 1Degree’s cloud video analytics is built to remove.
1Degree’s cloud video analytics is built to remove each of these problems, so your operators only see what matters.
Detection is tuned to how each property type actually gets used, not a one-size-fits-all model.
Detect loitering, break-ins, and after-hours activity across large open areas without flooding operators with routine vehicle and pedestrian motion.
Distinguish residents and deliveries from real security events across shared entrances, parking areas, and common spaces.
Apply the tighter, compliance-driven monitoring cannabis sites require, with detection tuned to restricted areas and access points.
Track vehicle and trailer movement across large yards and flag activity outside normal hours.
Monitor equipment and material laydown areas that change layout constantly, with detection that adapts as the site evolves.
Watch high-value inventory across open lots and flag activity around vehicles after hours.
A staged rollout that proves the model works before it covers your full camera base.
We review your current cameras, alert volume, and false-alarm patterns to scope what analytics can realistically remove.
Detection is tuned to your site’s specific layout, lighting, and traffic patterns rather than a generic model.
Analytics run on a subset of cameras first, so results are validated before wider rollout.
Analytics go live across your full camera base, with escalation paths confirmed for every site.
Detection is reviewed and retuned on an ongoing basis as conditions at each site change.
Every engagement includes the same core analytics stack, tuned to your sites.
AI identifies people, vehicles, and specific behaviors instead of reacting to raw pixel change.
Wind, weather, wildlife, and routine traffic are filtered out before an alert reaches an operator.
Detection runs in the cloud against every camera feed, independent of on-site hardware.
Footage is stored away from the property, so it can’t be altered or destroyed on scene.
Detection is calibrated to each site’s layout, lighting, and activity patterns.
Every filtered and escalated event is logged, so you can see what analytics caught and why.
A wholesale monitoring partner built around real AI analytics and a bench ready to act on what it finds.
Our platform pairs AI detection with a dedicated team of trained monitoring operators, so every filtered alert still gets human judgment before action is taken.
AI filtering frees up operator time, so a larger bench stays available to respond when it matters.
Detection narrows the alerts, and a trained operator verifies and acts, so decisions are never left to software alone.
Wholesale rates built for monitoring companies, not individual property owners.
Scale coverage up or down as your camera count and client base change.
North America registered and headquartered, with a monitoring bench built for consistent coverage.
A regional monitoring company was fielding a high volume of alerts from wind, wildlife, and passing traffic across its camera network, leaving operators with little time for real events. After moving those cameras onto 1Degree’s cloud video analytics, the AI layer filtered out routine motion before it ever reached an operator, and only activity matching real event patterns was escalated. The monitoring company’s operators spent their time on confirmed activity instead of noise, and every filtered event remained logged and reviewable.
Every alert 1Degree’s analytics filters or escalates is logged, so a monitoring company can review exactly what was caught and why. Detection models are checked against real activity at each site on an ongoing basis, and thresholds are retuned as conditions change, so accuracy keeps improving instead of drifting over time.
Monitoring companies who want AI to reduce operator workload and cut down on false alarms.
No. Every filtered event is still logged, and every event that matches real activity patterns still reaches an operator.
Yes. Detection is calibrated to each site’s layout, lighting, and activity patterns rather than a generic model.
Yes. Footage is stored away from the property, so it can’t be tampered with by anyone on scene.
Yes. AI narrows the alerts down to real activity, and a trained operator verifies and acts on what’s confirmed.
Cost-effective wholesale pricing and a larger, more active operator bench, freed up by real AI filtering instead of raw motion alerts.
Pricing scales with camera count. We provide a custom quote after a free assessment of your current setup.
