RPI 5 + AKD1000 outperforms others in terms of the power consumption of on-drone AI companion computer!
www.linkedin.com
View attachment 96399
This is really interesting Chris.
Orama.AOI. has collaborated with Intel in the past.
So, the CTO of Orama.AOI (AI-enhanced optical inspection systems) has mentioned on LinkedIn that Akida 1000 outperforms Jetson Orin Nano and Orin NX 8GB in the context of an on-drone AI companion computer.
This is a real-world edge AI, on-drone use case, compared against NVIDIA’s go-to edge stack (Jetson family), coming from someone actually building AI inspection systems.
Orama builds AI-enhanced automated optical inspection (AOI) systems used in manufacturing, semiconductor packaging and food inspection. They run AI at the edge, often offline and air-gapped environments.
If Akida is outperforming NVIDIA’s Jetson Orin Nano / NX in a drone-based system, it suggests efficiency gains are translating into practical performance advantages like potential for longer flight time and simpler thermal design and less reliance on heavy compute for continuous inference.
Now if we connect a few other dots:
- BrainChip partnering with ForwardEdge ASIC (custom silicon pathway)
- Increasing mentions of edge deployment (drones, sensors, embedded systems)
- Third-party validation starting to pop up (Kevin Johnson from IBM, Klepsydra, now Orama.AOI)
This is starting to look less like isolated announcements and one-off mentions and more like a stack forming around Akida.
IMO. DYOR.