Recognise what matters
Focus on defined events, from safety-zone violations and suspicious activity to process-specific visual deviations.
AI-POWERED VIDEO INTELLIGENCEYour cameras see.
Your cameras see.
Now they
understand.
Turn existing camera feeds into actionable intelligence. Protect people, detect risks and bring a new level of visibility to your operations.
Existing cameras·On-premise processing
VISION IN ACTIONCAM / 01
PERSON DETECTED
VEHICLE
⌁
Awareness starts here.People. Vehicles. Shared spaces.
↗WORKPLACE SAFETY✳SECURITY✳QUALITY CONTROL✳OPERATIONAL INTELLIGENCE✳CUSTOM VISION
From passive footage.
To active intelligence.
Your cameras already capture valuable information. DyntellCam adds an AI interpretation layer to selected feeds, turning visible events into risk signals, operational insights and evidence your team can act on.
Respond with context
Help the right team review relevant alerts and time-stamped evidence, without searching through hours of footage.
Learn from every event
Understand recurring patterns and use operational evidence to support better decisions across shifts and sites.
ONE PLATFORM. MANY PERSPECTIVES.
Explore all 10 use cases ↗See what’s possible.
01 / USE CASEWorkplace safety
↗Spot the near miss. Prevent the next one.
02 / USE CASESecurity & loss prevention
↗See the risk before it becomes a loss.
03 / USE CASEOperational intelligence
↗Make everyday activity measurable.
04 / USE CASEProduction quality control
↗Catch deviations closer to the source.
05 / USE CASEFleet & logistics
↗Keep risk in view, beyond the gate.
06 / USE CASECustom solutions
↗Your process. Your rules. Your use case.
CAMERA INTELLIGENCE IN PRACTICEReal operations.
Explore all case studies ↗Real operations.
Reported results.
CAMERA INTELLIGENCEPaulik Kft. · Wood processing
Automating log measurement
Camera-based measurement replaces manual log scaling with continuous dimensional and volume data.
24/7process monitoring
Read the case study ↗
CAMERA INTELLIGENCEMotorhome / RV manufacturer · Automotive & assembly
Validating standard times on the production line
Video analysis and generated reports reduce the effort of checking production standard times.
70%of manual work became automatable
Read the case study ↗
CAMERA INTELLIGENCEMolson Coors · Beverage & logistics
Understanding truck turnaround on site
Camera analysis and a BI dashboard make vehicle movements and time on site visible.
≤ 6 monthsreported payback
Read the case study ↗Project-specific results reported by Dyntell. Open each story for context and the original case study.
DAI ENGINE
CAM 01CAM 02CAM 03 INSIDE YOUR INFRASTRUCTURE
INTELLIGENCE, CLOSE TO THE SOURCEYour footage.
Your footage.
Your premises.
Your control.
Video data is processed locally, on your premises. Bring AI to the camera feeds you choose, with deployment requirements defined around your infrastructure and operational needs.
- On-premise video processing
- Build on compatible existing cameras
- Define access, retention and response workflows
A PRACTICAL PATH TO VALUE
Start focused. Scale with confidence.
Define
Choose a high-value scenario and agree what a useful detection and response look like.
Connect
Assess camera coverage, image quality, local processing and infrastructure requirements.
Validate
Pilot on representative footage and real conditions. Review detections and tune the rules.
Expand
Measure the outcome, refine the workflow and extend to additional feeds or use cases.
Find your operational perspective.
FROM THE DYNTELLCAM BLOGIdeas worth
Explore the blog ↗Ideas worth
a closer look.
Fleet securityFleet Security Does Not End When the Vehicle Leaves the Yard
Vehicle cameras often capture theft and tampering only for later review. Learn how AI video intelligence can turn suitable camera feeds into timely operational risk signals.
Read article
Workplace safetyNear Misses Are Data. EHS Teams Need a Way to Use It
Near misses often disappear without reliable evidence. See how AI video intelligence can help EHS teams recognize risk patterns, improve response and support measurable prevention.
Read articleVideo intelligenceYour Cameras Already Capture the Risk. The Missing Layer Is Interpretation
Most industrial cameras document incidents after the damage is done. Learn how AI video intelligence can turn existing camera infrastructure into an operational risk perception layer.
Read articleBefore you get started.
Do we need to replace our cameras?
Not necessarily. DyntellCam is designed to work with existing CCTV and vehicle cameras. Feed compatibility, positioning, resolution and lighting are assessed before deployment.
Where is the video processed?
Video processing takes place locally, on your premises. Hardware sizing, access controls and retention requirements are agreed as part of the deployment design.
Can it inspect products on our production line?
Production quality control can be scoped as a tailored computer vision application. The team assesses sample products, visible defects, line speed, lighting and camera placement before validating feasibility in a pilot.
Can we build a use case around our own process?
Yes. Start with a clear description of the event or deviation you need to see. Together, we can assess feasibility, specify detection rules and define how your team should receive and use the results.
START WITH ONE REAL CHALLENGEWhat should your
What should your
cameras see next?
Tell us about your site, your cameras and the problem you want to solve. Let’s define a focused first pilot.
Discuss your use case ↗Contact the Dyntell team ↗Email: info@dyntell.com