deepgridSEMI

Pre-Series A · Hyderabad, India

Sensors & RoboticsH100

H100 Driver Monitor

The H100 Driver Monitor is an alertness and fatigue tracking hardware SKU, configured as an on-body sensing wristband or an in-cabin monitoring unit, powered by DeepGrid's 28 nm SoC2 silicon. Positioned at ₹5,000 as DeepGrid's lowest-priced hardware offering, management projects it to generate ₹10 Cr in FY2032 (0.9% of group revenue at a 50% gross margin) to serve as a channel opener for fleet customer acquisition rather than a standalone profit line.

Listed price
₹5,000
FY2032 revenue
₹10 Cr
Share of plan
0.9%
Gross margin
50%
First revenue
FY2027
Volume plan
20,000 @ FY32
Concept render of a DeepGrid-liveried truck on a wet highway at dusk, a camera-mirror display beside the cab
Driver alertness in a fleetConcept render · H100 domain

From input to outcome

Proposed product architecture. The scene illustrates its application, not a shipped kit.

  1. The band reads pulse and movement continuously on the driver

  2. An on-device model scores alertness without sending raw data anywhere

  3. A drowsiness state crosses a threshold

  4. The vehicle alert chain warns the driver and the fleet is notified

The H100 Healthcare SoC on the SoC2 dieTechnology: six domains, one tapeout

Drag to rotate. Conceptual layout, not a mask.

On the die

H100 Driver Monitor

Runs on one of the six domains:

  • H100 Healthcare SoC

The case in brief

  • The H100 Driver Monitor offers a non-optical, wearable alternative to in-cabin video surveillance for commercial fleets complying with driver drowsiness mandates.
  • Priced at ₹5,000 as DeepGrid's lowest-cost hardware SKU, it serves as a direct fleet acquisition channel projected to deliver ₹10.0 Cr at a 50% gross margin in FY2032.
  • Commercial success depends on fleet operational discipline and driver adoption rather than core perception silicon development.

What it is used for

Commercial fleet driver alertness monitoring

Buyer
Fleets meeting drowsiness obligations without fitting a cabin camera
The job
Fleet operators must comply with mandatory driver drowsiness monitoring regulations while managing driver resistance to intrusive in-cabin video surveillance.
What DeepGrid supplies
A wrist-worn band with photoplethysmography (PPG) and motion sensing, an on-device fatigue model scoring alertness locally without transmitting raw data, and a direct radio link into the vehicle alert chain.

Automotive homologation for driver drowsiness systems

Buyer
OEM homologation engineer and testing-agency assessor
The job
Vehicle manufacturers require type approval under AIS-184 (DDAWS) and CMVR 125Q(1), which mandates empirical testing demonstrating compliance across both daytime and nighttime conditions.
What DeepGrid supplies
An in-cabin drowsiness processing pipeline paired with an assessable ten-participant day-and-night documentation study reporting per-participant sensitivity and standard deviation.

The story

A wrist-worn driver monitoring band delivering physiological fatigue tracking without cabin cameras.

The H100 driver monitor integrates on-body photoplethysmography and motion sensing with a direct radio connection to the vehicle alert network. It enables fleet operators to satisfy mandatory drowsiness monitoring requirements without installing intrusive video cameras pointed at drivers. At a unit price of ₹5,000, it functions primarily as an accessible entry point to build direct commercial fleet relationships.

  • ₹5,000Unit price
  • SensorsSegment
  • OutdoorOperating domain
  • FY2027First revenue
  • PPG and motion sensing bandHardware component
  • On-device fatigue modelSoftware component

Portfolio deck, slide 83: What it is

An on-device bio-signal processing chain scores driver fatigue locally on shared SoC2 silicon.

The band continuously captures pulse and movement, using an edge fatigue algorithm to score alertness locally without transmitting raw physiological data. When measured fatigue crosses a safety threshold, the device interfaces with the vehicle alert system to warn the operator and flag dispatch. By evaluating driver physiology directly, the system flags fatigue before lane departure occurs, relying on enrolment discipline rather than complex vehicle retrofit.

  • Continuous pulse and motion sensingSignal chain stage 1
  • On-device alertness scoringSignal chain stage 2
  • Drowsiness threshold crossingSignal chain stage 3
  • Vehicle alert and fleet noticeSignal chain stage 4
  • Shared SoC2 perception siliconCompute platform
  • Driver acceptance and enrolment disciplineOperational dependency

Portfolio deck, slide 84: How it works

Commercial transport operators adopt wearable monitoring to meet safety mandates without driver friction.

Fleets must address driver drowsiness mandates, including AIS-184 under the ADAS mandate and international standards like EU Reg 2021/267. Transport operators frequently select the wearable band over cabin-mounted optical systems to bypass driver pushback regarding continuous video recording. DeepGrid sells directly to fleets, using the low-cost hardware purchase as an initial gateway into wider account relationships.

  • Fleets avoiding cabin camerasTarget buyer
  • Fleet directDistribution channel
  • Driver-drowsiness obligationsPurchase trigger
  • AIS-184 and EU Reg 2021/267Regulatory standard
  • 20,000 unitsFY2032 volume projection

Portfolio deck, slide 85: Who buys it

A strategic channel SKU that opens commercial fleet accounts at 50% gross margin.

Management projects the H100 to scale to 20,000 units and generate ₹10.0 Cr in FY2032, accounting for 0.9% of group revenue at a 50% gross margin. Designed as a channel line rather than a high-volume profit driver, it secures account penetration with transport operators for higher-tier compliance and software services. The product provides a direct commercial hedge for fleets unable or unwilling to deploy cabin-facing vision sensors.

  • 20,000 unitsFY2032 units (management projection)
  • ₹10.0 CrFY2032 revenue (management projection)
  • 0.9%Group share (management projection)
  • 50%Gross margin
  • Channel line for fleet entryPortfolio role
Revenue and units by year (management projection)
  1. ₹0.1 CrFY27200 units
  2. ₹0.4 CrFY28800 units
  3. ₹1.1 CrFY292,200 units
  4. ₹2.5 CrFY305,000 units
  5. ₹5.5 CrFY3111,000 units
  6. ₹10 CrFY3220,000 units

Portfolio deck, slide 86: How it fits

What has to go right

For the wearable product to succeed, fleets must maintain operational enrolment discipline and secure driver acceptance regarding wearing and charging the device. For camera-based vehicle integrations, DeepGrid must successfully clear the testing-agency gate by delivering an assessable ten-participant day-and-night evaluation showing compliant sensitivity metrics. Commercial scale is fundamentally dependent on the implementation and enforcement timeline of the ADAS mandate across commercial trucks and buses. If regulatory inspection and enforcement slip, commercial transport fleets may defer adoption of dedicated driver monitoring hardware.

Key dependency Mandate enforcement timeline.

Further reading and viewing

Related products

Prices, volumes, revenues and margins are management projections. The text is written from the linked documents, and every figure in it appears in the source it came from.