Schools
A school day worth protecting.
Explore the placeThe school day continuesWatch film · 1:42Intelligence for the physical world
Designed for 24/7 awareness, Aspinos connects cameras, access events and operational systems to recognise risks, coordinate responses and keep your site running.
Who turns a warning
into action?
Connect the camera view to the place, the task and the people who can act.
One place comes into focusSchool entrance
SchoolsCommunityHotelsIndustry
The spatial view is unavailable. The camera references remain visible; explore the story below.
SIMULATED · Illustrated sources and workflows
School entranceCamera viewSite contextSIMULATED
A school day should never end in violence.
Before it reaches the door.
An armed threat needs more than a recording. The right people need the location, the evidence and a way to respond together.
A possible weapon outside a school. Bring the source, the location and the people who can act into one response.
The concern is visible. Who needs to know?
See the concern. Keep the evidence.
Bring the entrance, the evidence and the missing information to the people responsible for the response.
Review the object in its original frame. Keep uncertainty visible before deciding what happens next.
Give the response a place to start.
Agents check the site rules, gather the case and prepare each recipient’s task.
Agents run the work. People hold the authority.
In this illustrated response, each recipient has a task. A consequential instruction stays with the named decision-maker.
A response needs follow-through.
Follow who has acknowledged, what still needs checking and which decisions remain open.
SIMULATED
SIMULATEDIllustrative site context
SIMULATED · School workflow illustrationProtect people.
Support your staff.
Put intelligence to site.
A blocked route. A staff report. A concern at an entrance. Each can leave people searching for context before they can respond.
Aspinos brings that context into one case, gives the next task an owner and keeps decisions and follow-up connected.
From a concern to a coordinated response. Five situations in 30 seconds.
A school day worth protecting.
Pushing and a blocked path
Retain the sequence and request context from school staff.
Responsible personSchool safeguarding lead
MonitorEXAMPLE-06
Notice the condition
Start with what the source shows.
Selected observationSchool corridorSCHOOL-CAM-CORRIDORCapture +00:02
Proposed taskAsk the safeguarding lead to review the sequence and reports.School safeguarding lead
Keep observable behaviour separate from assumptions.
SIMULATED · Future workflow concepts
The animation could not load. Retry or choose a situation to read its details.
School coverage
00 / 30
Agents run the work. People hold the authority.
Illustrated possibilities. Explore the current product and its evidence.
About these examples
Pushing or path blocking can warrant safeguarding review. Bullying or repeated intimidation needs context and reports across time; one clip cannot establish either. No identity, intent or validated fight detector is inferred.
These examples use simulated scenes. They do not show live detection, a sent notification or a prevented incident.
Review current capabilities and evidence · Explore the product demonstrationThe freedom to gather.
Help caretakers and volunteers keep entrances accessible, share concerns and coordinate the next check.
Ordinary life. An observable concern.
Configured emergency response
Waiting for evidence and permission.
Separate decision for the safety lead
Authorise a wider protective instruction
A wider instruction stays with the community safety lead.
SIMULATED · Authored scene reference
Different places. Work that connects.
A factory boundary. A hotel concern. A waiting queue. Follow each observation into the work it needs.
An approaching worker.
A boundary to check.
Observe the conditionSIMULATED · Authored scenario
Start with the people
who depend on the place.
Explore the checks, handovers and responses that matter to each team.
Mosques & community
Keep gathering welcoming and well run.
Explore the placeKeep the welcome openWatch film · 1:41
Hotels & buildings
Connect the work behind the guest experience.
Explore the placeBehind a good stayWatch film · 1:46
Industry & logistics
Bring the floor, the evidence and the next check to the control room.
Explore the placeThe next shift needs to knowWatch film · 1:49
Retail & venues
Connect the teams behind a busy evening.
Explore the placeA place changes by the hourWatch film · 1:42The operating system for AI agents that act in physical places.
Connect observations to the site’s rules and responsibilities. Agents check the case, prepare tasks and coordinate permitted work. Consequential actions wait for a named person.
Explore the platformLocate the observation.
Place the source on the site. Keep its condition and the local rules beside the observation.
SIMULATED · Authored site model
Check the evidence.
Give the work an owner.
Keep what happened, what remains unknown and who needs to act together in one case.
Start with the source
Keep the original observation attached to the work.
Explore site intelligenceGive the observation context
Check the location and site rule. Carry unanswered questions into the case.
Build a sample caseBring the work to its owner
Name the task and its recipient. Keep a consequential instruction held for its approver.
Follow the response
Your cameras.
A connected way to work.
Start with supported camera inputs. Add site context, defined agent work and the permissions each action needs.
Connect the inputs
Start with a supported camera input and its known operating conditions.
Explore deploymentRun the configured work
Process the observation, check site context and prepare the permitted task.
See how the roles connectKeep authority with people
Keep the action, its target and the named decision together.
Follow the response
Aspinos connects perception, site context and agent work. CPU camera-processing experiments inform the design; further model adaptation, training and site evaluation are development work.
Read the measured conditions
See what runs today.
See what comes next.
Inspect the prototype’s task and decision records, the separate camera-processing experiments and the next evaluation work.
Follow the original observation
Start with what the source actually showed.
Inspect the sourceInspect the recorded work
Follow what was prepared, authorised, received and still awaiting a result.
Inspect the recorded workDifferent signals. Different work.
A routine visit, a door left open, a camera signal lost. Aspinos prepares the next task and keeps consequential actions with the people responsible.
Illustrated workflows. Field evaluation pending.
Read the evaluation plan
The scenes on this page are authored scenarios. Prototype records and measured evaluations retain their own sources, conditions and limits.
The people
building Aspinos.
Co-founder & CTO
Sharoze Ali
Istanbul, Türkiye
Computer vision and edge AI engineer focused on real-time physical-world intelligence. Sharoze leads Aspinos’ perception and runtime stack, from camera ingestion and vision pipelines to optimised edge deployment.
Background
Meet Sharoze on LinkedIn Netcad · IEEE · NVIDIA Edge AI
Co-founder & CEO
Yusuf Baykal Bozkurt
Toronto, Canada
Entrepreneur, AI strategist and founder of Beonbrand Inc., with a background in international broadcast journalism at Al Jazeera Turk. Yusuf leads Aspinos’ product vision, strategy, partnerships and market development.
Background
Meet Yusuf on LinkedIn Fulbright Canada · YLAI · Beonbrand · Al Jazeera Turk
