Built for c-stores, smoke shops, gas stations, and other high-traffic retail operators. RICK™ Vision turns existing cameras into private operational intelligence: alerts, analytics, store memory, daily briefs, and review workflows without uploading or storing raw video footage in the cloud.
This preview demonstrates the operator workflow: event overlays, review queues, and useful store signals. Production deployments transmit processed operational intelligence, alerts, analytics, and review data without storing raw footage in the cloud.
Private preview · Processed events · Raw footage not stored in cloud
Most camera systems are expensive evidence lockers. RICK™ Vision starts where independent operators actually are: existing cameras, imperfect angles, busy shelves, night risk, and owners who need private signal without hiring another person to watch screens.
Most camera systems record evidence after the problem. RICK™ Vision is designed to turn store activity into reviewable operational signals while keeping the bar high for false-positive control and privacy discipline.
Outside configured store hours, a person detected in frame becomes an urgent event. No long dwell timer. No generic weekly report. The operator gets the signal while it still matters.
Flags sequences such as hand-to-pocket, hand-to-bag, object disappearance after shelf interaction, and unpaid consumption for human review.
Designed for stores that already have camera coverage. The standard service is built for rapid deployment using the camera infrastructure already in the building.
Events attach camera location, time of day, product area, zone labels, review outcome, and store-specific context.
Instead of dumping clips, Vision can summarize what mattered: alerts, traffic patterns, unmanned register windows, high-interest zones, and unclear events worth checking.
Built for real stores: low resolution, odd angles, crowded aisles, occlusion, and older camera systems.
The same awareness foundation supports fall, duress, safety, compliance, and liability review as store-specific rules mature.
The reference videos proved the product does not need perfect cinematic footage. It needs useful extraction, event context, and careful review language.
One suspicious moment is rarely the whole story. The current workflow packages the best event context so managers can review what matters without scrubbing hours of footage.
Retail footage is often grainy, crowded, angled badly, or partially blocked. RICK™ Vision should suppress weak evidence and escalate only what is worth review.
Daily briefs turn camera footage into an owner habit: what happened, where attention went, what needs review, and what the system learned.
For ADG-connected stores, shelf context can eventually understand products ADG placed there, not just anonymous movement in an aisle.
The private cloud-managed service starts at $99/month by using the camera footprint already in place.
The first version is built around speed, precision, and low infrastructure friction. Raw footage is not uploaded or stored in the cloud. Only operational intelligence, alerts, analytics, and processed review data are transmitted.
Connect the camera feed and monitor for motion or person activity in relevant store zones.
Create an event packet with the relevant context instead of sending continuous footage upstream.
Move only review-worthy signals, alerts, analytics, and processed data into the private environment.
Generate risk level, false-positive risk, evidence summary, and recommended next action.
Route the event to a human reviewer before action or memory reinforcement.
Confirmed outcomes update store memory so the system gets better inside that environment.
RICK™ Vision’s first job is precision. The language, workflow, and review process are designed around operational awareness and human confirmation.
Alerts use “possible concealment” language. The system does not accuse a customer or employee.
Every meaningful event routes to review before it becomes a confirmed incident or store memory update.
Unstable detections, low evidence quality, normal employee activity, and weak sequences are suppressed.
Vision produces structured event data so alerts, review queues, dashboards, and store memory all speak the same language.
{
"event_type": "possible_concealment",
"store_id": "TX-001",
"camera_id": "cam-1",
"zone_label": "feel_free_shelf",
"track_id": 17,
"suspicious": true,
"confidence": 0.72,
"risk_level": "review",
"false_positive_risk": "medium",
"routing": "private_review_queue",
"after_hours": false,
"evidence_quality": "partial_occlusion",
"summary": "hand-to-pocket motion after shelf interaction; unclear product state",
"recommended_action": "send_to_human_review",
"human_review_required": true,
"memory_tags": ["cam_1", "shelf_interaction", "unclear"]
}
Every confirmed review teaches the operating layer what normal looks like in that exact location. The point is not generic surveillance. It is store-specific judgment that improves as owners confirm what mattered and what did not.
Human review marks an event as confirmed, unclear, normal activity, employee behavior, or false positive.
Review-worthy moments are converted into structured context without storing continuous raw footage in the cloud.
Confirmed examples sharpen the system around the store's own camera angles, zones, and operating rhythm.
As the store memory matures, alerts become cleaner and daily briefs become more useful for ownership.
RICK™ Vision can begin with a focused private cloud-managed deployment, then expand into broader store intelligence as the operator's footprint, camera coverage, and systems mature.
Existing camera coverage, possible concealment review, after-hours mode, store memory, structured events, and daily operating summaries.
Connect entrance, aisle, cooler, register, and exit views when stores have enough camera coverage and stable timestamps.
For qualified operators, connect store behavior with checkout, inventory, traffic, and operational signals through a custom integration plan.
The listed monthly pricing applies to the standard private cloud-managed deployment model. Full AI Store Integration is a premium on-site enterprise engagement scoped directly with ownership.
Built for rapid rollout using existing camera infrastructure. Each store operates inside a private environment accessible only to RICK and the store owner.
A confidential, highly customized on-site deployment for operators who want store-level intelligence connected across cameras, inventory, traffic, and operating systems.
These tiers apply only to the standard private cloud-managed deployment. Start with one location and grow. Every tier includes AI review, human confirmation, after-hours awareness, store memory, and processed operational intelligence without cloud storage of raw video footage.
For Full AI Store Integration, custom deployment analysis, and enterprise quoting, speak directly with the RICK Vision team.
Call (469) 818-0175