INTELLIGENT OPTICAL SYSTEMS, INC. — Department of Agriculture SBIR Phase I: 8.4
INTELLIGENT OPTICAL SYSTEMS, INC. — SBIR Phase I award from Department of Agriculture.
Phase I SBIR feasibility signal
- Phase I awards fund proof-of-concept work. For capture teams, they mark early interest from Department of Agriculture in a technical approach.
- Watch for Phase II follow-ons from the same firm/topic family — that conversion path is where budgets and transition pressure rise.
- Obligated amount $181,467. Cross-check similar awards in the same agency and technology tags for going-rate context.
- Topic code 8.4 links this award to a solicitation family — search the same topic stem for incumbents and recompete timing.
- Amount
- $181,467
- Agency
- Department of Agriculture
- Program / Phase
- SBIR · Phase I
- Topic
- 8.4
- Solicitation
- USDA-NIFA-SBIR-008541
- NAICS
- —
- Place of performance
- CA
- Period
- 2022-04-11 → 2023-02-28
Description
IOS #21-061 (LZ)PROJECT SUMMARYTitle:Drone-mounted Water Quality Monitoring Sensor SystemPD:Zhang Lihua Institution: Intelligent Optical Systems Inc.Over the past decade drones also referred to as unmanned aerial vehicles (UAVs) haveemerged as novel versatile adaptable and flexible capable of monitoring and assessing thenatural environment. Drones equipped with chemical sensors are emerging as valuable tools formonitoring air quality. However current drone-based technology for water monitoring is stilllimited with water sampling and detection based on photos taken by drone. To our knowledgethere is no commercial drone-based sensing system on the market to collect in-situ hydro- chemical data from water due to the limited payload and power consumption on drones.Intelligent Optical Systems Inc. (IOS) proposes to develop a robust flexible and reliable drone- mounted sensing system that can remotely access a waterbody thus dramatically reducing thecost of monitoring. In addition the system enables real-time monitoring over large areas. Real- time monitoring at lower cost will allow newer remarkably more effective monitoring andmitigation strategies in agricultural water management.1