Radar satellite checks that flag fishing boats missing from the transponder roll
TL;DR Wakeline takes free radar satellite passes over India's coast, finds every boat in them and checks each one against the new ISRO transponder records. Boats that show up on radar but not on the roll go to state fisheries officers as a short, ranked list. States pay a yearly subscription per coastline.
India is fitting one lakh marine fishing boats with ISRO-built transponders under a ₹364 crore plan approved in July 2026, with states paying 40% of the cost[1]. The transponders report position, send geo-fence alerts when a boat crosses a boundary and log trip declarations.
That gives states a clean picture of the boats that cooperate. Not everything is hunky-dory though. It says nothing about a trawler that switches its unit off during the monsoon ban, an unregistered boat, or a foreign vessel inside the zone. Worldwide, more than 85% of fishing vessels seen in night-light satellite data broadcast neither AIS nor a government tracking signal[2]. India publishes no figure for its own dark fleet.
What it does, in regulatory terms: analysis of medium-resolution satellite imagery for government enforcement support. Imagery coarser than 30 cm needs only intimation to IN-SPACe, not authorisation[3]. Wakeline makes no arrest decisions - officers do.
Every Sentinel-1 radar pass over a state's waters gets processed within hours. A detection model picks out vessels, estimates length and heading, and drops anything near a port or a known tanker lane. Each remaining boat is matched against transponder positions for the same minute. What's left is a list of boats on radar with no transponder record, ranked by size, distance inside a restricted zone and repeat sightings.
Fisheries officers see the list on a map and mark each item checked, false or confirmed, and the model learns from their marks. Monthly reports show patrol commanders where dark boats cluster and on which days.
Sentinel-1 is all-weather and works at night, which matters a lot during the monsoon ban, when cloud blocks optical satellites[4].
The user is a district fisheries officer or a marine enforcement wing. The payer is the state fisheries department, which already co-funds the transponder roll-out and will be judged on whether it changes behaviour. Coastal police and the Coast Guard are second buyers. There's no published price for this kind of service in India, so an annual subscription of ₹15–40 L per coastline is my assumption to test.
The national transponder plan was approved in July 2026[1], so for the first time states will hold a reference list to match radar against. Sentinel-1C has been operational since May 2025 and 1D launched in November 2025, bringing back the two-satellite revisit[4]. The 2023 space policy lets private firms sell applications built on satellite data[3].
There's no public figure for satellite vessel monitoring spend by Indian states. The narrow anchor is the ₹364 crore transponder programme across 13 coastal states and union territories[1], which tells you buyers have budget lines for fishing surveillance. Adjacent: maritime intelligence firms sell to governments, banks and insurers worldwide[5], which shows the category pays, not what India will pay.
A non-profit monitoring group publishes free radar and night-light detections with an open API[2]. That's good enough for research but it isn't matched to India's own transponder data or built for daily patrol work. A commercial maritime analytics firm sells all-source intelligence, including IUU fishing detection, priced for navies and banks[5]. ISRO's own Nabhmitra system tracks the cooperating boats only[1]. I found no Indian firm doing the match.
| Difficulty | Moderate (42/100) |
| Starting capital | ₹60 L–1.1 Cr |
| Time to launch | 6–9 months |
The radar detection is well understood. Getting live transponder feeds out of state departments is the slow part, along with keeping false alarms low near crowded harbours. Small wooden boats return weak radar echoes, so expect to miss some, and tell buyers that up front.
No sector licence is needed to sell this analysis, as long as you stay with medium-resolution imagery. The rules are about data.
Building this outside India? The categories above usually have a local equivalent, so check with your own regulator.
AI should never decide that a boat is guilty. Small wooden boats return weak echoes and get missed, and every flag needs an officer to check it before anyone acts.
Want to work out the AI layer for Wakeline? Talk to Yash →
I think the timing on this one is excellent. It suits a founder with remote-sensing skills who can sit patiently with state officials. If you want fast private revenue then this will frustrate you. Prove first that one state will share transponder data for a 60-day pilot and that officers confirm at least a third of flagged boats.
Plan for about ₹60 L–1.1 Cr for the processing pipeline, a small remote-sensing team and the long state sales cycle.
For imagery coarser than 30 cm you only intimate IN-SPACe, and finer imagery needs authorisation. You also need a written agreement to use the state's transponder data.
Yes, Sentinel-1 radar covers coasts worldwide for free. The hard part anywhere is getting the national vessel tracking feed to match against.
The free Wakeline validation kit has the line-by-line capital breakdown, the effort scoring, the space-data and data-protection checklist, a 14-day validation sprint with pass/fail targets, a 90-day launch plan, 10 interview questions for fisheries officers, and 5 assumptions to test. Download the kit →
Thinking about building Wakeline or something close to it? The make-or-break work is getting a state to share live transponder data for a pilot, and I'm happy to help you work out the approach. If you need a hand, you know where to find me. Talk to Yash →
For illustration only. Names are fictional and ideas hypothetical; sourced facts are real but may be out of date. Nothing here is legal, financial or professional advice, and Yash Khatri is not personally liable for any use of it. Read the full disclaimer.