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Lekuko IoT · Edge AI & Embedded

Edge AI & predictive mathematics.

Hardware-adjacent AI and real-time machine vision process at the point of capture. No cloud latency, recurring compute dependency, or external raw-video pipeline.

Edge intelligence // Engineering mandate

Inference at the point of capture.

Cloud platforms fail industrial workloads when network round trips, bandwidth limits, and data residency requirements conflict with real-time operations. Lekuko moves inference beside the sensor and returns only the operational result.

The hardware pipeline progresses from rapid Raspberry Pi prototypes to Nvidia Jetson tensor processing, industrial System-on-Modules, and custom PCBs. OpenCV, PyTorch and TensorRT are optimized around real environmental and compute limits.

Architectural stack | Capability matrix

Specialists. Under one roof.

Scope, materials and response targets shaped around each deployment's physical and operational constraints.

01Rapid prototypingRaspberry Pi
02Tensor processingNvidia Jetson
03Industrial scalingSOM modules
04Mass rolloutCustom PCB
Built forExact kinetic, thermal and mechanical site limits
MaterialsHP MJF PA12 Nylon, SLS PA12/PA11, carbon-fibre nylon
Deployment briefing // ANPR-SYS-01Edge AI · Computer vision · Anonymized

Edge ANPR ecosystem.

>850msLegacy cloud
<12msLocal payload
0%Cloud reliance
100%Data stays local

Bandwidth & threat surface

Continuous 1080p streaming saturated site links and exposed feeds to interception.

Latency & recurring cost

Cloud round trips delayed gate actuation and added escalating compute charges.

Data sovereignty

Retention had to remain local while small operational events reached client systems.

Deployment briefing // IND-DEFECT-02Edge AI · Computer vision · Anonymized

Conveyor defect detection.

<5msInference & actuation
100%Fault isolation
0Line stoppage

Line velocity

Micro-defects on belts moving faster than human inspection can follow.

Ambient light noise

Shifting factory lighting made fixed-threshold vision prone to false positives.

Zero throughput loss

Faults had to be rejected physically without slowing the line.

Terminal routing | B2B intake

Does your mandate require edge intelligence?

If cloud latency, bandwidth, industrial friction or sovereignty requirements constrain operations, submit your technical parameters for evaluation by our edge engineering team.

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