VR-FL · Vision & Robotics
Decide in under a millisecond.
Every time. By construction.
Neural vision inference on the AMD Kria KV260 — with no OS, no scheduler, no framework on the
decision path. The computation lives in the logic gates. Latency is fixed, not hoped for.
99.06%
CNN · bit-exact KV260
The structural enemy: variable latency
A drone in dense navigation must decide in under 5 ms. A picking robot must decide whether to grab a part before it leaves the zone. A surveillance camera must alert before the intruder is out of frame.
GPU + Linux + ROS2 stacks introduce latency and variance — exactly what autonomous systems cannot tolerate. FLVH removes the variance at the source: no OS, no scheduler, no framework. Same input, same latency, same output — on every single frame.
Why the Kria KV260
AMD literally calls it the "Vision AI Starter Kit". Native MIPI CSI-2 (direct camera, no external frame grabber), the K26 SOM (ZU5EV) used in AMD's series deployments, and direct distribution through the Kria App Store — straight to AMD's worldwide vision integrators. FLVH is the zero-OS inference core for this hardware.
FLVH Vision vs. Vitis AI DPU
Criterion
Vitis AI DPU
FLVH Vision
Inference latency
Variable (OS scheduler)
<1 ms fixed
Jitter
Not guaranteed
±12 µs measured
Model update
Recompile + redeploy
New DDR binary <1s
Attack surface
OS + framework + driver
None
DO-178C readiness
No
Architecture-ready
Custom model
AMD pre-defined
PyTorch → Forge → KV260
Priority use cases
⬡
Industrial Quality Camera
MIPI camera → CNN → OK/NOK in <500 µs. GPIO fires the ejector before the part leaves the line. Latency well below conventional smart-camera pipelines; custom model with no on-site technician.
⚲
Autonomous Drone
Front camera → depth features → trajectory decision in <1 ms, CPU-free. <1 W vs 20–50 W for an embedded GPU — a significant flight-autonomy gain.
⚙
Vision Robot — Picking
Position + orientation features → grasp coordinates in <1 ms. Sub-ms closed loop: the arm gets the correction before the next control step. Retrainable on new parts, no line stop.
▣
Smart Surveillance Camera
Local inference — no video sent to a server (GDPR-native). Boots in <2 s after power loss. No OS update can disable it. Model updated by swapping one binary file.
Validated on physical silicon
MLP — MNIST 10k
98.05%
Zynq-7020 · KV260 ✅
CNN — MNIST 10k
99.06%
Zynq-7020 · KV260 ✅
Delta float64 / silicon
0.00%
bit-exact
Every deployment carries a deterministic proof seal (verifiable origin, no network) and runs only under a signed license token. Validated on KV260 silicon, 2026-06-29.
Get FLVH Vision on your KV260
A sealed, signed FLVH Vision product running on your own hardware — proof of sub-millisecond latency and bit-exact accuracy, protected by our cryptographic seal.
$10,000 per board · 12-month license. Fleet deployment: annual license or per-installation royalties — by discussion.
Request the product →