Machine vision
Digitize instruments and equipment state
Turn analog gauges, indicator positions, fluid levels, and visible equipment conditions into timestamped data that supports machine-health metrics and predictions of remaining useful life.
Edge intelligence for field operations
We are capturing what SCADA can't
SnapShot combines machine vision, thermal imaging, and full-spectrum vibration and acoustic data with seasoned operator knowledge—giving field teams the context to manage more assets safely and efficiently.
SNAPSHOT / GAUGE RECOGNITION
NON-INVASIVEWorks with installed equipment
EDGE-FIRSTUseful even through outages
MULTI-SIGNALVision · thermal · vibration · acoustic
EXPERT-TRAINEDYour operators help refine the model over time, improving accuracy for your specific operations.
The operating gap
Critical signals are hiding in plain sight.
Legacy sites contain valuable instruments, equipment signatures, and visual operating cues, but many still depend on periodic rounds and isolated readings. SnapShot creates a continuous digital layer around them.
Better visibility without a control-system replacement.
01
Observe the whole site
Field hardware captures gauges, thermal conditions, full-spectrum vibration and acoustic data, equipment state, and defined work areas.
02
Interpret at the edge
Lightweight local models convert high-volume signals into readings, trends, events, and reviewable evidence—even with constrained connectivity.
03
Keep experts in the loop
Experienced operators review events, explain the operating context, and help the models learn the patterns that matter.
04
Inform the operator
Teams see what changed, why it may matter, and the evidence behind it—so each operator can manage more assets efficiently.
One platform · four signal families
Equipment health, operational context, and visual evidence.
Each signal is useful alone. Together, they give the operator a more complete and actionable understanding of the asset.
Thermal
Track heat where it matters
Monitor equipment and process temperatures without adding intrusive instrumentation, and preserve thermal evidence around changing conditions.
Full-spectrum vibration + acoustic
Preserve the signal, not only a summary
Capture wide-band waveform and frequency-domain data so operators and models can detect emerging patterns, compare baselines, and investigate the underlying spectrum.
Operational vision
Support security, SOP, and compliance review
Use defined camera views to identify site access and observable workflow steps, flag possible deviations for human review, and retain visual records that support regulatory documentation.
Beyond gauge reading
Machine vision turns observation into asset insight.
Machine vision extends beyond digitizing gauges to interpreting equipment state, fluid levels, and visible operating conditions. Combined with thermal, vibration, and acoustic signals, these observations feed machine-health metrics and predictions of an asset’s remaining useful life, helping operators plan maintenance and anticipate failures.
SnapShot in action
From a gauge face to an operating picture.
01 / READ
Make every reading reviewable.
Most types of analog gauges can be read and trended at high sample rates without adding to the existing SCADA load. One camera can read all the gauges in a scene, keeping costs low.
02 / TRACK
Trend data that can be checked by a human.
The overall process conditions at a site can be inferred from the signals collected by a SnapShot deployment. Together, these signals create a digital twin for predicting fault conditions, identifying anomalies, and simulating operational changes. Source images let operators check the readings behind each trend.
03 / ANTICIPATE
A Case Study: A closer look at distributor-cap health.
By digitizing the analog gauges on the engine cluster at a heavy-oil site, SnapShot turned existing instrument readings into data for a predictive model. The model was able to predict distributor-cap failures 10 days in advance, giving operators time to plan maintenance before a failure occurred.
Learning from the field
Real inputs. Real interventions. Better-informed decisions.
SnapShot’s learning loop connects what the site is doing with what operators do about it. Sensor data and visual observations provide the evidence; work logs, maintenance actions, and operator explanations add the context needed to interpret it.
When an operator intervenes, the conditions before and after that action become another example to review. Over time, those reviewed outcomes help refine predictions and the inferences behind recommended responses for that site.
From prediction to a plan: the operator sees the issue that matters, the suggested response, and when to act. Recommendations support operator judgment; completed work and observed results inform the next cycle.
01
Observe real operating conditionsBring together readings, images, vibration, acoustics, weather, and operating history to establish what normal looks like at each site.
02
Record interventions and contextOperators explain what they found, what they changed, and why—from a component replacement or tank haul to a process adjustment or site inspection.
03
Learn from what happened nextCompare the prediction with the observed outcome and the asset’s response to the intervention. Reviewed examples help refine the model’s understanding of developing issues and useful responses.
04
Recommend an action and a timeframeCombine the predicted issue with site context and operator knowledge to suggest what to inspect, protect, service, or replace—and by when. The operator reviews the recommendation, acts, and feeds the outcome back into the learning loop.
From site health to operator action
What needs attention. What to do. By when.
Move from a view of the entire site to the assets behind each priority. Each asset view keeps the equipment in context and surfaces the health information that matters to the operator’s next decision.
Illustrative SnapShot Console screens. Values, forecasts, and action dates shown in these four examples are simulated.
01 / SITE OVERVIEW
The entire site’s health in one image.
See the whole operation in a single visual overview. Site conditions and asset priorities appear together, so the operator can understand where attention is needed before opening individual equipment views. Road access, berm water, and engine, tank, and top-drive actions share the same operating picture.
In this example, the overview brings together a berm-draining deadline, a truck-access warning, and the next actions for each major asset.
02 / ENGINE
See the engine. Focus on the health that matters.
View the complete engine with the component-health signals that affect the next operating decision. Distributor-cap condition, hydraulic-pump life, and weather-related fuel-line risk are connected to the asset, while history and forecasts explain why attention is needed.
The example recommends protecting the fuel line before a cold night, planning distributor-cap replacement, and bringing forward hydraulic-pump maintenance. Each recommendation includes a target time or date.
03 / TANK
Turn tank conditions into a timely plan.
See the tank as a whole, with the fluid and interface levels, production rate, and foam risk that matter to its operation. The view connects present conditions with the forecast, helping the operator plan a haul or inspection before the predicted issue develops.
Here, an estimated 3.2 days to high level becomes a recommendation to haul by Friday night. Elevated foam risk is paired with a check by Sunday evening.
04 / TOP DRIVE
Know which component needs attention—and when.
View the top drive with its critical bearing-health estimates and vibration trends. The operator can distinguish the component that needs a planned intervention from one that can continue to be monitored, without losing sight of the overall asset.
The example pairs an estimated 3–5 weeks of gearbox-bearing life with a replacement date, while showing 3–6 months for the main bearing and no immediate action needed.
Built for operations
Manage your assets by exception, not by reacting
SnapShot prioritizes operational risk on a site-by-site basis, bringing asset health, predicted issues, operating conditions, and recommended action dates into one view. Operators can see which sites need attention first, what needs to be done, and how soon to act.
That visibility helps optimize field visits: prioritize higher-risk sites, group compatible inspections and maintenance into the same trip, and arrive with the right people, parts, and context. Sites with no emerging exceptions can remain under remote review, helping teams focus field time where it has the greatest operational value.
SnapShot is designed around the way remote energy assets actually operate: intermittent connectivity, existing infrastructure, and the need for evidence—not just another alarm. It directs attention to the assets and events most likely to need human judgment.
01Earlier awarenessSee equipment and operating drift between routine site visits.
02Faster triageReview the reading, spectrum, imagery, and context together.
03Scalable oversightHelp each operator prioritize and manage a larger asset base efficiently.
04Stronger operating recordRetain searchable evidence for investigations, SOP review, security, and compliance support.
Explore a pilot
Start with one site.
A focused pilot establishes signal baselines, captures expert operating inference, validates edge models, and identifies where continuous visibility can expand the operator's effective reach.
Tell us a little about your operation. We'll reach out to arrange a discovery meeting and discuss where SnapShot could help.