DARPA Wants Drone Video Cut by 99 Percent — Running on Two Watts. DV019's $2M Semantic ISR Topic Closes September 23.
August 24, 2026 · 6 min read
Granted Research Team · Editorial policy
Most compression problems are solved by throwing away detail. DARPA's Semantically-Aware ISR topic asks for something harder: throw away the wrong 99 percent and keep the right one percent, where "right" is defined by a mission intent the operator typed in natural language ten minutes ago.
DPA26BZ05-DV019 opened August 26, 2026 in DARPA's FY26 SBIR Release 5 and closes September 23, 2026 at 12:00 PM ET. It is Direct-to-Phase-II only.
| Component | Amount | Duration |
|---|---|---|
| Base period | Up to $1,500,000 | 18 months |
| Option | Up to $500,000 | 6 months |
| TABA (commercialization assistance) | Up to $25,000 | At award |
| Total | Up to $2,000,000 | Up to 24 months |
The problem DARPA is actually solving
Small drones generate far more video than tactical networks can carry. The standard mitigations are all unsatisfying in a contested environment: lower the bitrate and you lose the detail that made the sensor worth flying; buffer and forward later and you lose the timeliness; relay to a cloud processor and you have created a high-bandwidth reachback link that is the first thing an adversary jams.
DV019 forbids the third option outright. No cloud processing. No continuous high-bandwidth reachback. Whatever decides what to transmit has to run on the aircraft.
This is the "semantic communications" thesis moving from academic literature into a procurement line item. The academic version has been building for several years — the argument that transmitting mission-relevant abstractions rather than raw multimodal streams yields order-of-magnitude bandwidth reductions, with published results in the high-80s percent range for autonomous vehicle networks. DARPA is asking for 90 to 99 percent, in ISR video, on hardware you can hang off a Group 1 or Group 2 airframe.
Four capabilities, and one of them is the hard one
The topic names four required capabilities:
Mission-intent grounding. An operator states, in natural language, what matters on this sortie. The system converts that into executable logic — without mid-flight retraining. This is the discriminator. A model fine-tuned overnight on today's target set is not a solution; the whole point is that intent changes between sorties and sometimes during them, and the aircraft cannot phone home for new weights.
Spatiotemporal reasoning. The system must recognize mission-relevant behavior, including from objects that are unknown or camouflaged. Note the framing: behavior, not classification. A classifier that has never seen the object cannot label it, but a system reasoning over motion and context can still flag "that thing is doing something that matters."
Multimodal fusion. Electro-optical video plus additional sensor streams.
Auditability. Full traceability for every transmission and suppression decision. If the system chose not to send something, there must be a record of why.
That last requirement is not bureaucratic garnish. In a system whose entire function is deciding what a human never sees, suppression is the failure mode with consequences. DARPA is requiring the audit trail up front rather than discovering later that no one can reconstruct why a frame was dropped.
The power budget is the real gate
DARPA names the hardware: NVIDIA Jetson Orin Nano, Hailo-8L, Coral Edge TPU, AMD Kintex FPGAs, or ARM Cortex-M. And it names the envelope: 5 watts interim, 2 watts final.
Two watts is severe. It is well below what a Jetson Orin Nano draws under sustained inference load in its ordinary configurations, which means a compliant solution is not "run a vision-language model on the edge." It is aggressive quantization, sparse or event-driven inference, hard duty-cycling, or a hybrid where a very cheap always-on stage gates an expensive stage that runs rarely. The Cortex-M appearing on that list alongside a Jetson is DARPA signaling that it expects a tiered architecture, not one model.
If your proposal's power section is a paragraph, you will lose to someone whose power section is a table with measured numbers. This topic will be won and lost on watts, not on accuracy.
Read the exclusion list. It is the strategy.
Buried in the topic is a sentence that tells you more about DARPA's institutional posture than the technical requirements do:
Weapon-release, lethal engagement, and named-person identification are explicitly excluded.
Three separate prohibitions, and they are doing distinct work.
Weapon release and lethal engagement are excluded because DARPA is scoping this as a communications and sensor-management problem, not an autonomy-in-targeting problem. A system that decides what video to send is governed by one review pathway; a system that participates in an engagement decision is governed by a considerably heavier one. Keeping the scope clean keeps the program moving.
Named-person identification is the more interesting exclusion. Facial recognition would be an obvious way to satisfy "mission-relevant" — and DARPA has ruled it out. That constraint pushes the entire solution space toward behavior and pattern reasoning rather than identity matching, which is consistent with the spatiotemporal-reasoning requirement and with the emphasis on unknown and camouflaged objects.
For proposers, this is directly actionable: do not propose an identity-based approach and expect to negotiate scope later. If your existing product line is built on face or person re-identification, the reusable portion is the pipeline and the edge-optimization work, not the model. Say so explicitly in the proposal rather than letting an evaluator wonder.
Who can actually bid
Direct-to-Phase-II requires documented prior feasibility. DV019 specifies the bar as TRL 4 or higher, achieved outside SBIR funding.
That is a real constraint and a slightly unusual one. It is not enough to have done the work — the work must have been funded by something other than a prior SBIR award. Internal R&D, other-transaction agreements, commercial revenue, and non-SBIR government contracts all qualify. A prior Phase II on adjacent technology does not.
The bidder profile this produces is narrow: companies that have already fielded edge-inference video systems commercially, or that have non-SBIR defense work in tactical ISR, or that spun out of a research group with published semantic-communications results and can document lab demonstrations. If you are in that set, four weeks is enough time to write. If you are not, DV019 is a topic to study for Release 6 rather than to bid.
Practical mechanics
- Submission portal: DSIP at dodsbirsttr.mil. Verify SAM.gov and SBIR Company Registry status now — expired registrations block submission with no grace period.
- Technical questions close September 16, seven calendar days before the deadline. DARPA does not answer inquiries inside that window.
- ITAR and EAR restricted. Foreign-national team members need documented compliance in place before you submit.
- VC-backed firms are eligible with proper SBA majority-ownership registration, which takes time to obtain.
- Take the TABA money. $25,000 in commercialization assistance is available at award and is not counted against your technical budget. Companies routinely leave it on the table.
- No Phase I fallback exists. There is no smaller version of this topic to bid instead.
Why this topic matters beyond the $2 million
DV019 is a small award attached to a large architectural bet. The Department has been pushing sensor-to-shooter timelines that ground-relay architectures structurally cannot meet in contested environments, and every proposed fix — on-orbit processing, mesh autonomy, edge inference — converges on the same principle: move the decision to where the data is, because the link is the vulnerability.
Semantic ISR is that principle applied to the cheapest, most numerous sensor platform in the inventory. If it works at two watts on a Group 1 drone, the same approach scales to every constrained-link sensor the Department fields — and the commercial parallels in industrial inspection, wildfire monitoring, agricultural survey, and maritime domain awareness are immediate, since all of them involve expensive video pipes carrying mostly nothing.
The winner of DV019 is not selling a compression product. They are qualifying as the supplier of a component that a lot of future programs will need. Price the proposal accordingly, and make the Phase III commercialization narrative carry real weight — DARPA is buying an architecture, and it wants to know the architecture will survive the end of the SBIR.