TridentVision
Implement yolov26m using a complete FPGA, without any C language code. Requires 160K LUTs and 386 DSP cores (based on Xilinx XC7K325T).
Details
- External ID
- 1362678258
- Source
- GITHUB
- Company
- —
- Product
- TridentVision
- Website domain
- github.com
- Launched
- Sept. 9, 2026
- Cohort
- —
- Upvotes
- 71
- Upvotes percentile
- 0.8878426851140149
- Tags
- —
- Fetched at
- Sept. 13, 2026, 5:56 p.m.
- Updated at
- Sept. 13, 2026, 5:56 p.m.
Enrichment
- Theme
- DeepSeek model deployment and inference
- Vertical
- Horizontal
- Function
- Hardware & robotics
- Audience
- Developer
- AI stance
- AI-native
- Project type
- Hobby / open-source project
- Normalized one-liner
- pure fpga implementation for yolov26m object detection
- Manually corrected
- False
Could you build this?
No Implementing a full YOLO computer vision neural network purely in FPGA hardware description languages (Verilog/VHDL) without HLS or C requires specialized digital ASIC/FPGA design expertise.
What it would actually take: Designing this requires writing cycle-accurate RTL in pure Verilog or VHDL to build custom hardware processing units for matrix multiplication, convolution, activation functions, and quantization. The engineer must manage timing closure, block RAM (BRAM) memory access patterns, AXI interfaces, and pipeline parallelism to fit within 160K LUTs and 386 DSPs on a Xilinx Kintex-7. This demands advanced electrical engineering and hardware synthesis expertise that AI coding models cannot autonomously produce.
Competitors
Other products that read as similar to this one — 110 launches clear the similarity bar, closest 8 shown.
Attention rank: #19 of 111 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 308 days after the earliest competitor.
- Yolov11n by C on Raspberry Pi 5 · hn · 2026-09-12 · 6 upvotes · similarity 0.47
- Reverse-engineered the FPGA bitstream using Claude Code · hn · 2026-04-06 · 6 upvotes · similarity 0.44
- Dual YOLOv8n UAV Detection on RK3588S at 42 FPS Using NPU · hn · 2026-06-14 · 72 upvotes · similarity 0.42
- FPGA soft-core of the Saab Viggen's 1963 airborne computer · hn · 2026-03-20 · 22 upvotes · similarity 0.40
- xgoduck_hardware · github · 2026-09-24 · 349 upvotes · similarity 0.40
- Iron · hn · 2026-05-27 · 8 upvotes · similarity 0.40
- A tiny LLM running at 21,000 tok/s on a $250 FPGA (Live Demo) · hn · 2026-08-10 · 79 upvotes · similarity 0.40
- FPGA Based IBM-PC-XT · hn · 2025-11-12 · 6 upvotes · similarity 0.39
Other launches for this product
- No other launches for this product.
Same idea, different domain
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